Difference between revisions of "IPv6: Link State Routing Protocol"
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==Linear Sequence Number Spaces== | ==Linear Sequence Number Spaces== | ||
− | One approach is to use a linear sequence number space so large that it | + | One approach is to use a linear sequence number space so large that it is unlikely the upper limit will ever be reached. If, for instance, a 32-bit field is used, there are 2 32 = 4,294,967,296 available sequence numbers starting with zero. Even if a router was creating a new link state packet every 10 seconds, it would take 1361 years to exhaust the sequence number supply; few routers are expected to last so long. |
− | is unlikely the upper limit will ever be reached. If, for instance, a 32-bit | ||
− | field is used, there are 2 32 = 4,294,967,296 available sequence numbers | ||
− | starting with zero. Even if a router was creating a new link state packet | ||
− | every 10 seconds, it would take 1361 years to exhaust the sequence | ||
− | number supply; few routers are expected to last so long. | ||
− | In this imperfect world, unfortunately, malfunctions occur. If a link state | + | In this imperfect world, unfortunately, malfunctions occur. If a link state routing process somehow runs out of sequence numbers, it must shut itself down and stay down long enough for its LSAs to age out of all databases before starting over at the lowest sequence number (see the section "Aging," later in this chapter). |
− | routing process somehow runs out of sequence numbers, it must shut | ||
− | itself down and stay down long enough for its LSAs to age out of all | ||
− | databases before starting over at the lowest sequence number (see the | ||
− | section "Aging," later in this chapter). | ||
− | A more common difficulty presents itself during router restarts. If Router | + | A more common difficulty presents itself during router restarts. If Router A restarts, it probably will have no way of remembering the sequence number it last used and must begin again at, say, one. But if its neighbors still have Router A's previous sequence numbers in their databases, the lower sequence numbers will be interpreted as older sequence numbers and will be ignored. Again, the routing process must stay down until all old LSAs are aged out of the network. Given that a maximum age might be an hour or more, this solution is not very attractive. |
− | A restarts, it probably will have no way of remembering the sequence | ||
− | number it last used and must begin again at, say, one. But if its neighbors | ||
− | still have Router A's previous sequence numbers in their databases, the | ||
− | lower sequence numbers will be interpreted as older sequence numbers | ||
− | and will be ignored. Again, the routing process must stay down until all | ||
− | old LSAs are aged out of the network. Given that a maximum age might | ||
− | be an hour or more, this solution is not very attractive. | ||
− | A better solution is to add a new rule to the flooding behavior described | + | A better solution is to add a new rule to the flooding behavior described thus far: If a restarted router issues to a neighbor an LSA with a sequence number that appears to be older than the neighbor's stored sequence number, the neighbor will send its own stored LSA and sequence number back to the router. The router will thus learn the sequence number it was using before it restarted and can adjust accordingly. |
− | thus far: If a restarted router issues to a neighbor an LSA with a | ||
− | sequence number that appears to be older than the neighbor's stored | ||
− | sequence number, the neighbor will send its own stored LSA and | ||
− | sequence number back to the router. The router will thus learn the | ||
− | sequence number it was using before it restarted and can adjust | ||
− | accordingly. | ||
− | Care must be taken, however, that the last-used sequence number was | + | Care must be taken, however, that the last-used sequence number was not close to the maximum; otherwise, the restarting router will simply have to restart again. A rule must be set limiting the "jump" the routerhave to restart again. A rule must be set limiting the "jump" the router might make in sequence numbersfor instance, a rule might say that the sequence numbers cannot make a single increase more than one-half the total sequence number space. (The actual formulas are more complex than this example, taking into account age constraints.) IS-IS uses a 32-bit linear sequence number space. |
− | not close to the maximum; otherwise, the restarting router will simply | ||
− | have to restart again. A rule must be set limiting the "jump" the routerhave to restart again. A rule must be set limiting the "jump" the router might make in sequence numbersfor instance, a rule might say that the | ||
− | sequence numbers cannot make a single increase more than one-half | ||
− | the total sequence number space. (The actual formulas are more | ||
− | complex than this example, taking into account age constraints.) | ||
− | IS-IS uses a 32-bit linear sequence number space. | ||
==Circular Sequence Number Spaces== | ==Circular Sequence Number Spaces== | ||
Line 193: | Line 165: | ||
==Aging== | ==Aging== | ||
− | The LSA format should include a field for the age of the advertisement. | + | The LSA format should include a field for the age of the advertisement. When an LSA is created, the router sets this field to one. As the packet is flooded, each router increments the age of the advertisement. [13] |
− | When an LSA is created, the router sets this field to one. As the packet is | ||
− | flooded, each router increments the age of the advertisement. [13] | ||
[13] | [13] | ||
− | Of course, another option would be to start with some maximum age and decrement. | + | Of course, another option would be to start with some maximum age and decrement. OSPF increments; IS-IS decrements. |
− | OSPF increments; IS-IS decrements. | + | |
+ | This process of aging adds another layer of reliability to the flooding process. The protocol defines a maximum age difference (MaxAgeDiff) value for the network. A router might receive multiple copies of the same LSA with identical sequence numbers but different ages. If the difference in the ages is lower than the MaxAgeDiff, it is assumed that the age difference was the result of normal network latencies; the original LSA in the database is retained, and the newer LSA (with the greater age) is not flooded. If the difference is greater than the MaxAgeDiff value, it is assumed that an anomaly has occurred in the network in which a new LSA was sent without incrementing the sequence number. In this case, the newer LSA will be recorded, and the packet will be flooded. A typical MaxAgeDiff value is 15 minutes (used by OSPF).The age of an LSA continues to be incremented as it resides in a link state database. If the age for a link state record is incremented up to some maximum age (MaxAge)again defined by the specific routing protocol the LSA, with age field set to the MaxAge value, is flooded to all neighbors and the record is deleted from the databases. | ||
+ | |||
+ | If the LSA is to be flushed from all databases when MaxAge is reached, there must be a mechanism to periodically validate the LSA and reset its timer before MaxAge is reached. A link state refresh time (LSRefreshTime) [14] is established; when this time expires, a router floods a new LSA to all its neighbors, who will reset the age of the sending router's records to the new received age. OSPF defines a MaxAge of 1 hour and an LSRefreshTime of 30 minutes. | ||
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[14] | [14] | ||
LSRefreshTime, MaxAge, and MaxAgeDiff are OSPF architectural constants. | LSRefreshTime, MaxAge, and MaxAgeDiff are OSPF architectural constants. | ||
− | Link State Database | + | |
− | In addition to flooding LSAs and discovering neighbors, a third major task | + | ==Link State Database== |
− | of the link state routing protocol is establishing the link state database. | + | |
− | The link state or topological database stores the LSAs as a series of | + | In addition to flooding LSAs and discovering neighbors, a third major task of the link state routing protocol is establishing the link state database. The link state or topological database stores the LSAs as a series of records. Although a sequence number and age and possibly other information are included in the LSA, these variables exist mainly to manage the flooding process. The important information for the shortest path determination process is the advertising router's ID, its attached networks and neighboring routers, and the cost associated with those networks or neighbors. As the previous sentence implies, LSAs might include two types of generic information: [15] |
− | records. Although a sequence number and age and possibly other | ||
− | information are included in the LSA, these variables exist mainly to | ||
− | manage the flooding process. The important information for the shortest | ||
− | path determination process is the advertising router's ID, its attached | ||
− | networks and neighboring routers, and the cost associated with those | ||
− | networks or neighbors. As the previous sentence implies, LSAs might | ||
− | include two types of generic information: [15] | ||
[15] | [15] | ||
− | Actually, there can be more than two types of information and multiple types of link | + | Actually, there can be more than two types of information and multiple types of link state packets. They are covered in the chapters on specific link state protocols. |
− | state packets. They are covered in the chapters on specific link state protocols. | + | Router link information advertises a router's adjacent neighbors with a triple of (Router ID, Neighbor ID, Cost), where cost is the cost of the link to the neighbor.Stub network information advertises a router's directly connected stub subnets (subnets with no neighbors) with a triple of (Router ID, Network ID, Cost). |
− | Router link information advertises a router's adjacent neighbors with | + | |
− | a triple of (Router ID, Neighbor ID, Cost), where cost is the cost of | + | The shortest path first (SPF) algorithm is run once for the router link information to establish shortest paths to each router, and then stub network information is used to add these networks to the routers. Figure 4-11 shows a network of routers and the links between them; stub networks are not shown for the sake of simplicity. Notice that several links have different costs associated with them at each end. A cost is associated with the outgoing direction of an interface. For instance, the link from RB to RC has a cost of 1, but the same link has a cost of 5 in the RC to RB direction. |
− | the link to the neighbor.Stub network information advertises a router's directly connected | + | |
− | stub subnets (subnets with no neighbors) with a triple of (Router ID, | + | Figure 4-11. Link costs are calculated for the outgoing direction from an interface and do not necessarily have to be the same at all interfaces on a link.Table 4-2 shows a generic link state database for the network of Figure 4-11, a copy of which is stored in every router. As you read through this database, you will see that it completely describes the network. Now it is possible to compute a tree that describes the shortest path to each router by running the SPF algorithm. |
− | Network ID, Cost). | + | |
− | The shortest path first (SPF) algorithm is run once for the router link | + | Table 4-2. Topological database for the network in Figure 4-11. |
− | information to establish shortest paths to each router, and then stub | + | |
− | network information is used to add these networks to the routers. Figure | ||
− | 4-11 shows a network of routers and the links between them; stub | ||
− | networks are not shown for the sake of simplicity. Notice that several | ||
− | links have different costs associated with them at each end. A cost is | ||
− | associated with the outgoing direction of an interface. For instance, the | ||
− | link from RB to RC has a cost of 1, but the same link has a cost of 5 in | ||
− | the RC to RB direction. | ||
− | Figure 4-11. Link costs are calculated for the outgoing | ||
− | direction from an interface and do not necessarily have to | ||
− | be the same at all interfaces on a link.Table 4-2 shows a generic link state database for the network of Figure | ||
− | 4-11, a copy of which is stored in every router. As you read through this | ||
− | database, you will see that it completely describes the network. Now it is | ||
− | possible to compute a tree that describes the shortest path to each router | ||
− | by running the SPF algorithm. | ||
− | Table 4-2. Topological database for the network in Figure | ||
− | 4-11. | ||
Router ID Neighbor Cost | Router ID Neighbor Cost | ||
Line 289: | Line 216: | ||
RH RF 6 | RH RF 6 | ||
− | SPF Algorithm | + | ==SPF Algorithm== |
− | It is unfortunate that Dijkstra's algorithm is so commonly referred to in the | + | |
− | routing world as the shortest path first algorithm. After all, the objective of | + | It is unfortunate that Dijkstra's algorithm is so commonly referred to in the routing world as the shortest path first algorithm. After all, the objective of every routing protocol is to calculate shortest paths. It is also unfortunate that Dijkstra's algorithm is often made to appear more esoteric than it really is; many writers just can't resist putting it in set theory notation. The clearest description of the algorithm comes from E. W. Dijkstra's original paper. Here it is in his own words, followed by a "translation" for the linkstate routing protocol: Construct [a] tree of minimum total length between the n nodes. (The tree is a graph with one and only one path between every two nodes.) In the course of the construction that we present here, the branches are divided into three sets: |
− | every routing protocol is to calculate shortest paths. It is also unfortunate | ||
− | that Dijkstra's algorithm is often made to appear more esoteric than it | ||
− | really is; many writers just can't resist putting it in set theory notation. The | ||
− | clearest description of the algorithm comes from E. W. Dijkstra's original | ||
− | paper. Here it is in his own words, followed by a "translation" for the linkstate routing protocol: | ||
− | Construct [a] tree of minimum total length between the n nodes. (The tree | ||
− | is a graph with one and only one path between every two nodes.) | ||
− | In the course of the construction that we present here, the branches are | ||
− | divided into three sets: | ||
I. the branches definitely assigned to the tree under construction (they will be in a subtree); | I. the branches definitely assigned to the tree under construction (they will be in a subtree); | ||
Line 308: | Line 226: | ||
B. the remaining nodes (one and only one branch of set II will lead to each of these nodes). | B. the remaining nodes (one and only one branch of set II will lead to each of these nodes). | ||
− | We start the construction by choosing an arbitrary node as the only | + | We start the construction by choosing an arbitrary node as the only member of set A, and by placing all branches that end in this node in set |
− | member of set A, and by placing all branches that end in this node in set | + | II. To start with, set I is empty. From then onwards we perform the following two steps repeatedly. |
− | II. To start with, set I is empty. From then onwards we perform the | + | |
− | following two steps repeatedly. | + | Step 1. The shortest branch of set II is removed from this set and added to set I. As a result, one node is transferred from set B to set A. |
− | + | Step 2. Consider the branches leading from the node, which has just been transferred to set A, to the nodes that are still in set B. If the branch under construction is longer than the corresponding branch in set II, it is rejected; if it is shorter, it replaces the corresponding branch in set II, and the latter is rejected.We then return to step 1 and repeat the process until sets II and B are empty. The branches in set I form the tree required. [16] | |
− | |||
− | Step 2. Consider the branches leading from the node, which has just | ||
− | been transferred to set A, to the nodes that are still in set B. If | ||
− | the branch under construction is longer than the corresponding | ||
− | branch in set II, it is rejected; if it is shorter, it replaces the | ||
− | corresponding branch in set II, and the latter is rejected.We then return to step 1 and repeat the process until sets II and B are | ||
− | empty. The branches in set I form the tree required. [16] | ||
[16] | [16] | ||
Line 326: | Line 237: | ||
Mathematik, Vol. 1, 1959, pp. 269271. | Mathematik, Vol. 1, 1959, pp. 269271. | ||
− | Adapting the algorithm for routers, first note that Dijkstra describes three | + | Adapting the algorithm for routers, first note that Dijkstra describes three sets of branches: I, II, and III. In the router, three databases represent the three sets: |
− | sets of branches: I, II, and III. In the router, three databases represent the | ||
− | three sets: | ||
− | The Tree Database This database represents set I. Links (branches) | + | The Tree Database This database represents set I. Links (branches) are added to the shortest path tree by adding them here. When the algorithm is finished, this database will describe the shortest path tree. |
− | are added to the shortest path tree by adding them here. When the | ||
− | algorithm is finished, this database will describe the shortest path | ||
− | tree. | ||
− | The Candidate Database This database corresponds to set II. Links | + | The Candidate Database This database corresponds to set II. Links are copied from the link state database to this list in a prescribed order, where they become candidates to be added to the tree. The Link State Database The repository of all links, as has been previously described. This topological database corresponds to set III. |
− | are copied from the link state database to this list in a prescribed | ||
− | order, where they become candidates to be added to the tree. | ||
− | The Link State Database The repository of all links, as has been | ||
− | previously described. This topological database corresponds to set | ||
− | III. | ||
− | Dijkstra also specifies two sets of nodes, set A and set B. Here the nodes | + | Dijkstra also specifies two sets of nodes, set A and set B. Here the nodes are routers. Specifically, they are the routers represented by Neighbor ID in the Router Links triples (Router ID, Neighbor ID, Cost). Set A comprises the routers connected by the links in the Tree database. Set B is all other routers. Since the whole point is to find a shortest path to every router, set B should be empty when the algorithm is finished. Here's a version of Dijkstra's algorithm adapted for routers: |
− | are routers. Specifically, they are the routers represented by Neighbor ID | + | |
− | in the Router Links triples (Router ID, Neighbor ID, Cost). Set A | + | 1. A router initializes the Tree database by adding itself as the root. This entry shows the router as its own neighbor, with a cost of 0. |
− | comprises the routers connected by the links in the Tree database. Set B | ||
− | is all other routers. Since the whole point is to find a shortest path to | ||
− | every router, set B should be empty when the algorithm is finished. | ||
− | Here's a version of Dijkstra's algorithm adapted for routers: | ||
− | 1. A router initializes the Tree database by adding itself as the root. | ||
− | This entry shows the router as its own neighbor, with a cost of 0. | ||
2. All triples in the link state database describing links to the rootrouter's neighbors are added to the Candidate database. | 2. All triples in the link state database describing links to the rootrouter's neighbors are added to the Candidate database. | ||
− | 3. The cost from the root to each link in the Candidate database is | + | 3. The cost from the root to each link in the Candidate database is calculated. The link in the Candidate database with the lowest cost is moved to the Tree database. If two or more links are an equally low cost from the root, choose one. |
− | calculated. The link in the Candidate database with the lowest cost is | + | 4. The Neighbor ID of the link just added to the Tree database is examined. With the exception of any triple whose Neighbor ID is already in the Tree database, triples in the link state database describing that router's neighbors are added to the Candidate database. |
− | moved to the Tree database. If two or more links are an equally low | + | 5. If entries remain in the Candidate database, return to step 3. If the Candidate database is empty, terminate the algorithm. At termination, a single Neighbor ID entry in the Tree database should represent every router, and the shortest path tree is complete. |
− | cost from the root, choose one. | + | |
− | 4. The Neighbor ID of the link just added to the Tree database is | + | Table 4-3 summarizes the process and results of applying Dijkstra's algorithm to build a shortest path tree for the network in Figure 4-11. Router RA from Figure 4-11 is running the algorithm, using the link state database of Table 4-2. Figure 4-12 shows the shortest path tree constructed for Router RA by this algorithm. After each router calculates its own tree, it can examine the other routers' network link information and add the stub networks to the tree fairly easily. From this information, entries might be made into the routing table. |
− | examined. With the exception of any triple whose Neighbor ID is | + | |
− | already in the Tree database, triples in the link state database | + | Table 4-3. Dijkstra's Algorithm Applied to the Database of Table 4-2 Candidate |
− | describing that router's neighbors are added to the Candidate | + | |
− | database. | ||
− | 5. If entries remain in the Candidate database, return to step 3. If the | ||
− | Candidate database is empty, terminate the algorithm. At | ||
− | termination, a single Neighbor ID entry in the Tree database should | ||
− | represent every router, and the shortest path tree is complete. | ||
− | Table 4-3 summarizes the process and results of applying Dijkstra's | ||
− | algorithm to build a shortest path tree for the network in Figure 4-11. | ||
− | Router RA from Figure 4-11 is running the algorithm, using the link state | ||
− | database of Table 4-2. Figure 4-12 shows the shortest path tree | ||
− | constructed for Router RA by this algorithm. After each router calculates | ||
− | its own tree, it can examine the other routers' network link information | ||
− | and add the stub networks to the tree fairly easily. From this information, | ||
− | entries might be made into the routing table. | ||
− | Table 4-3. Dijkstra's Algorithm Applied to the Database of Table 4-2 | ||
− | |||
Cost to Root | Cost to Root | ||
− | RA,RB,2 2 | + | |
− | RA,RD,4 4 | + | RA,RB,2 2 |
− | RA,RE,4 4 | + | RA,RD,4 4 |
− | Tree Description | + | RA,RE,4 4 |
+ | |||
+ | ==Tree Description== | ||
+ | |||
RA,RA,0 Router A adds itself to the tree as root. | RA,RA,0 Router A adds itself to the tree as root. | ||
− | RA,RA,0 The links to all of RA's neighbors are | + | RA,RA,0 The links to all of RA's neighbors are added to the candidate list.RA,RD,4 4 |
− | added to the candidate list.RA,RD,4 4 | ||
RA,RA,0 | RA,RA,0 | ||
− | RA,RB,2 (RA,RB,2) is the lowest-cost link on the | + | RA,RB,2 (RA,RB,2) is the lowest-cost link on the candidate list, so it is added to the tree. |
− | candidate list, so it is added to the tree. | + | |
− | All of RB's neighbors except those | + | All of RB's neighbors except those already in the tree are added to the candidate list. (RA,RE,4) is a lower-cost link to RE than (RB,RE,10), so the latter is dropped from the candidate list. |
− | already in the tree are added to the | ||
− | candidate list. (RA,RE,4) is a lower-cost | ||
− | link to RE than (RB,RE,10), so the latter | ||
− | is dropped from the candidate list. | ||
RA,RE,4 4 | RA,RE,4 4 | ||
Line 399: | Line 277: | ||
RA,RB,2 | RA,RB,2 | ||
− | RB,RC,1 (RB,RC,1) is the lowest-cost link on the | + | RB,RC,1 (RB,RC,1) is the lowest-cost link on the candidate list, so it is added to the tree. All of RC's neighbors except those already on the tree become candidates. |
− | candidate list, so it is added to the tree. | ||
− | All of RC's neighbors except those | ||
− | already on the tree become candidates. | ||
RA,RE,4 4 | RA,RE,4 4 | ||
Line 411: | Line 286: | ||
RB,RC,1 | RB,RC,1 | ||
− | RA,RD,4 (RA,RD,4) and (RA,RE,4) are both a | + | RA,RD,4 (RA,RD,4) and (RA,RE,4) are both a cost of 4 from RA; (RC,RF,2) is a cost of 5. (RA,RD,4) is added to the tree and its neighbors become candidates. Two paths to RE are on the candidate list; (RD,RE,3)is a higher cost from RA and is dropped. |
− | cost of 4 from RA; (RC,RF,2) is a cost | ||
− | of 5. (RA,RD,4) is added to the tree and | ||
− | its neighbors become candidates. Two | ||
− | paths to RE are on the candidate list; | ||
− | (RD,RE,3)is a higher cost from RA and | ||
− | is dropped. | ||
RC,RF,2 5 | RC,RF,2 5 | ||
Line 428: | Line 297: | ||
RA,RD,4 | RA,RD,4 | ||
− | RA,RE,4 (RF,RE,1) is added to the tree. All of | + | RA,RE,4 (RF,RE,1) is added to the tree. All of RE's neighbors not already on the tree are added to the candidate list. The higher-cost link to RG is dropped. |
− | RE's neighbors not already on the tree | ||
− | are added to the candidate list. The | ||
− | higher-cost link to RG is dropped. | ||
RD,RG,5 9 | RD,RG,5 9 | ||
Line 438: | Line 304: | ||
RE,RH,8 12 | RE,RH,8 12 | ||
− | RE,RF,2 6 RA,RA,0 RE,RG,1 5 RA,RB,2 RE,RH,8 12 RB,RC,1 RF,RH,4 9 RA,RD,4 (RC,RF,2) is added to the tree, and its | + | RE,RF,2 6 RA,RA,0 RE,RG,1 5 RA,RB,2 RE,RH,8 12 RB,RC,1 RF,RH,4 9 RA,RD,4 (RC,RF,2) is added to the tree, and its neighbors are added to the candidate list. (RE,RG,1) could have been selected instead because it has the same cost (5) from RA. The higher-cost path to RH is dropped. |
− | neighbors are added to the candidate | ||
− | list. (RE,RG,1) could have been | ||
− | selected instead because it has the | ||
− | same cost (5) from RA. The higher-cost | ||
− | path to RH is dropped. | ||
RA,RE,4 | RA,RE,4 | ||
Line 457: | Line 318: | ||
RE,RG,1 | RE,RG,1 | ||
− | (RE,RG,1) is added to the tree. RG has | + | (RE,RG,1) is added to the tree. RG has no neighbors that are not already on the tree, so nothing is added to the candidate list.RA,RA,0 |
− | no neighbors that are not already on the | ||
− | tree, so nothing is added to the | ||
− | candidate list.RA,RA,0 | ||
RA,RB,2 | RA,RB,2 | ||
Line 470: | Line 328: | ||
RF,RH,4 | RF,RH,4 | ||
− | (RF,RH,4) is the lowest-cost link on the | + | (RF,RH,4) is the lowest-cost link on the candidate list, so it is added to the tree. No candidates remain on the list, so the algorithm is terminated. The shortest path tree is complete. |
− | candidate list, so it is added to the tree. | + | |
− | No candidates remain on the list, so the | + | Figure 4-12. Shortest path tree derived by the algorithm in Table 4-3. |
− | algorithm is terminated. The shortest | ||
− | path tree is complete. | ||
− | + | ==Areas== | |
− | |||
− | |||
An area is a subset of the routers that make up a network. Dividing anetwork into areas is a response to three concerns commonly expressed | An area is a subset of the routers that make up a network. Dividing anetwork into areas is a response to three concerns commonly expressed | ||
about link state protocols: | about link state protocols: | ||
− | |||
− | |||
− | |||
− | Modern link state protocols and the routers that run them are designed to | + | * The necessary databases require more memory than a distance vector protocol requires. |
− | reduce these effects, but cannot eliminate them. The last section | + | * The complex algorithm requires more CPU time than a distance vector protocol requires. |
− | examined what the link state database might look like, and how an SPF | + | * The flooding of link state packets adversely affects available bandwidth, particularly in unstable networks. |
− | algorithm might work, for a small eight-router network. Remember that | + | |
− | the stub networks that would be connected to those eight routers and that | + | Modern link state protocols and the routers that run them are designed to reduce these effects, but cannot eliminate them. The last section examined what the link state database might look like, and how an SPF algorithm might work, for a small eight-router network. Remember that the stub networks that would be connected to those eight routers and that would form the leaves of the SPF tree were not taken into consideration. Now, imagine an 8000-router network, and you can understand the concern about the impact on memory, CPU, and bandwidth. |
− | would form the leaves of the SPF tree were not taken into consideration. | + | |
− | Now, imagine an 8000-router network, and you can understand the | + | This impact can be greatly reduced by the use of areas, as in Figure 4-13. When a network is subdivided into areas, the routers within an area need to flood LSAs only within that area and therefore need to maintain a link state database only for that area. The smaller database means less required memory in each router and fewer CPU cycles to run the SPF algorithm on that database. If frequent topology changes occur, the resulting flooding will be confined to the area of the instability. |
− | concern about the impact on memory, CPU, and bandwidth. | + | |
+ | Figure 4-13. Use of areas reduces link state's demand for system resources.The routers connecting two areas (Area Border Routers, in OSPF terminology) belong to both areas and must maintain separate topological databases for each. Just as a host on one network that wants to send a packet to another network only needs to know how to find its local router, a router in one area that wants to send a packet to another area only needs to know how to find its local Area Border Router. In other words, the intra-area router/inter-area router relationship is the same as the host/router relationship but at a higher hierarchical level. Distance vector protocols, such as RIP and IGRP, do not use areas. | ||
− | + | Given that these protocols have no recourse but to see a large network as a single entity, must calculate a route to every network, and must broadcast the resulting huge route table every 30 or 90 seconds, it becomes clear that link state protocols utilizing areas can conserve system resources. | |
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==Pranala Menarik== | ==Pranala Menarik== | ||
* [[IPv6: Advanced Routing]] | * [[IPv6: Advanced Routing]] |
Latest revision as of 16:16, 22 March 2019
The information available to a distance vector router has been compared to the information available from a road sign. Link state routing protocols are like a road map. A link state router cannot be fooled as easily into making bad routing decisions, because it has a complete picture of the network. The reason is that unlike the routing-by-rumor approach of distance vector, link state routers have firsthand information from all their peer [9] routers. Each router originates information about itself, its directly connected links, the state of those links (hence the name), and any directly connected neighbors. This information is passed around from router to router, each router making a copy of it, but never changing it. The ultimate objective is that every router has identical information about the network, and each router will independently calculate its own best paths.
That is, all routers speaking the same routing protocol.
Link state protocols, sometimes called shortest path first or distributed database protocols, are built around a well-known algorithm from theory, E. W. Dijkstra's shortest path algorithm. Examples of link state routing protocols are Open Shortest Path First (OSPF) for IP. The ISO's Intermediate System-to-Intermediate System (IS-IS) for CLNS and IP
DEC's DNA Phase V Novell's NetWare Link Services Protocol (NLSP)
Although link-state protocols are rightly considered more complex than distance vector protocols, the basic functionality is not complex at all:1. Each router establishes a relationship an adjacency with each of its neighbors.
2. Each router sends a data unit we will call link state advertisements (LSAs) to each neighbor. [10] The LSA lists each of the router's links, and for each link, it identifies the link, the state of the link, the metric cost of the router's interface to the link, and any neighbors that might be connected to the link. Each neighbor receiving an advertisement in turn forwards (floods) the advertisement to its own neighbors. [10]
LSA is an OSPF term. The corresponding data unit created by IS-IS is called link state PDU (LSP). But for this general discussion, "LSA" fits our needs.
3. Each router stores a copy of all the LSAs it has seen in a database. If all works well, the databases in all routers should be identical.
4. The completed topological database, also called the link state database, is used by the Dijkstra algorithm to compute a graph of the network indicating the shortest path to each router. The link state protocol can then consult the link state database to find what subnets are attached to each router, and enter this information into the routing table.
Neighbors
Neighbor discovery is the first step in getting a link state environment up and running. In keeping with the friendly neighbor terminology, a Hello protocol is used for this step. The protocol will define a Hello packet format and a procedure for exchanging the packets and processing the information the packets contain.
At a minimum, the Hello packet will contain a router ID (RID) and the address of the network on which the packet is being sent. The router ID is something by which the router originating the packet can be uniquely distinguished from all other routers; for instance, an IP address from one of the router's interfaces. Other fields of the packet might carry a subnet mask, Hello intervals, a specified maximum period the router will wait tohear a Hello before declaring the neighbor "dead," a descriptor of the circuit type, and flags to help in bringing up adjacencies.
When two routers have discovered each other as neighbors, they go through a process of synchronizing their databases in which they exchange and verify database information until their databases are identical. The details of database synchronization are described in Chapters 8, "OSPFv2," and 10, "Integrated IS-IS." To perform this database synchronization, the neighbors must be adjacentthat is, they must agree on certain protocol-specific parameters such as timers and support of optional capabilities. By using Hello packets to build adjacencies, link state protocols can exchange information in a controlled fashion. Contrast this approach with distance vector, which simply broadcasts updates out any interface configured for that routing protocol. Beyond building adjacencies, Hello packets serve as keepalives to monitor the adjacency. If Hellos are not heard from an adjacent neighbor within a certain established time, the neighbor is considered unreachable and the adjacency is broken. A typical interval for the exchange of Hello packets is ten seconds, and a typical dead period is four times that.
Link State Flooding
After the adjacencies are established, the routers might begin sending out LSAs. As the term flooding implies, the advertisements are sent to every neighbor. In turn, each received LSA is copied and forwarded to every neighbor except the one that sent the LSA. This process is the source of one of link state's advantages over distance vector. LSAs are forwarded almost immediately, whereas distance vector protocols based on the Bellman-Ford algorithm must run its algorithm and update its route table before routing updates, even the triggered ones, can be forwarded. As a result, link state protocols converge much faster than distance vector protocols converge when the topology changes.
The flooding process is the most complex piece of a link state protocol. There are several ways to make flooding more efficient and morereliable, such as using unicast and multicast addresses, checksums, and positive acknowledgments. These topics are examined in the protocol-specific chapters, but two procedures are vitally important to the flooding process: sequencing and aging.
Sequence Numbers
A difficulty with flooding, as described so far, is that when all routers have received all LSAs, the flooding must stop. A time-to-live value in the packets could simply be relied on to expire, but it is hardly efficient to permit LSAs to wander the network until they expire. Take the network in Figure 4-8. Subnet 172.22.4.0 at Router A has failed, and A has flooded an LSA to its neighbors B and D, advertising the new state of the link. B and D dutifully flood to their neighbors, and so on.
Figure 4-8. When a topology change occurs, LSAs advertising the change will be flooded throughout the network.Look next at what happens at Router C. An LSA arrives from Router B at time t 1 , is entered into C's topological database, and is forwarded to Router F. At some later time t 3 , another copy of the same LSA arrives from the longer A-D-E-F-C route. Router C sees that it already has the LSA in its database; the question is, should C forward this LSA to Router B? The answer is no because B has already received the advertisement. Router C knows this because the sequence number of the LSA it received from Router F is the same as the sequence number of the LSA it received earlier from Router B.
When Router A sent out the LSA, it included an identical sequence number in each copy. This sequence number is recorded in the routers' topological databases along with the rest of the LSA; when a router receives an LSA that is already in the database and its sequence number is the same, the received information is discarded. If the information is the same but the sequence number is greater, the received information and new sequence number are entered into the database and the LSA is flooded. In this way, flooding is abated when all routers have seen a copy of the most recent LSA.
As described so far, it seems that routers could merely verify that their link state databases contain the same LSA as the newly received LSA and make a flood/discard decision based on that information, without needing a sequence number. But imagine that immediately after Figure 4-8's network 172.22.4.0 failed, it came back up. Router A might send out an LSA advertising the network as down, with a sequence number of 166; then it sends out a new LSA announcing the same network as up, with a sequence number of 167. Router C receives the down LSA and then the up LSA from the A-B-C path, but then it receives a delayed down LSA from the A-D-E-F-C path. Without the sequence numbers, C would not know whether or not to believe the delayed down LSA. With sequence numbers, C's database will indicate that the information from Router A has a sequence number of 167; the late LSA has a sequence number of 166 and is therefore recognized as old information and discarded.
Because the sequence numbers are carried in a set field within the LSAs, the numbers must have some upper boundary. What happens when thisthe numbers must have some upper boundary. What happens when this maximum sequence number is reached?
Linear Sequence Number Spaces
One approach is to use a linear sequence number space so large that it is unlikely the upper limit will ever be reached. If, for instance, a 32-bit field is used, there are 2 32 = 4,294,967,296 available sequence numbers starting with zero. Even if a router was creating a new link state packet every 10 seconds, it would take 1361 years to exhaust the sequence number supply; few routers are expected to last so long.
In this imperfect world, unfortunately, malfunctions occur. If a link state routing process somehow runs out of sequence numbers, it must shut itself down and stay down long enough for its LSAs to age out of all databases before starting over at the lowest sequence number (see the section "Aging," later in this chapter).
A more common difficulty presents itself during router restarts. If Router A restarts, it probably will have no way of remembering the sequence number it last used and must begin again at, say, one. But if its neighbors still have Router A's previous sequence numbers in their databases, the lower sequence numbers will be interpreted as older sequence numbers and will be ignored. Again, the routing process must stay down until all old LSAs are aged out of the network. Given that a maximum age might be an hour or more, this solution is not very attractive.
A better solution is to add a new rule to the flooding behavior described thus far: If a restarted router issues to a neighbor an LSA with a sequence number that appears to be older than the neighbor's stored sequence number, the neighbor will send its own stored LSA and sequence number back to the router. The router will thus learn the sequence number it was using before it restarted and can adjust accordingly.
Care must be taken, however, that the last-used sequence number was not close to the maximum; otherwise, the restarting router will simply have to restart again. A rule must be set limiting the "jump" the routerhave to restart again. A rule must be set limiting the "jump" the router might make in sequence numbersfor instance, a rule might say that the sequence numbers cannot make a single increase more than one-half the total sequence number space. (The actual formulas are more complex than this example, taking into account age constraints.) IS-IS uses a 32-bit linear sequence number space.
Circular Sequence Number Spaces
Another approach is to use a circular sequence number space, where the numbers "wrap"that is, in a 32-bit space, the number following 4,294,967,295 is 0. Malfunctions can cause interesting dilemmas here, too. A restarting router might encounter the same believability problem as discussed for linear sequence numbers.
Circular sequence numbering creates a curious bit of illogic. If x is any number between 1 and 4,294,967,295 inclusive, then 0 < x < 0. This situation can be managed in well-behaved networks by asserting two rules for determining when a sequence number is greater than or less than another sequence number. Given a sequence number space n and two sequence numbers a and b, a is considered more recent (of larger magnitude) in either of the following situations:
a > b, and (a b) n/2 a < b, and (b a) > n/2
For the sake of simplicity, take a sequence number space of six bits, shown in Figure 4-9:
n = 2 6 = 64 so n/2 = 32.
Figure 4-9. Six-Bit Circular Address SpaceGiven two sequence numbers 48 and 18, 48 is more recent because by rule (1)
48 > 18 and (48 18) = 30 and 30 < 32.
Given two sequence numbers 3 and 48, 3 is more recent because by rule (2)
3 < 48 and (48 3) = 45 and 45 > 32.
Given two sequence numbers 3 and 18, 18 is more recent because by rule (1)
18 > 3 and (18 3) = 15 and 15 < 32.
So the rules seem to enforce circularity.
But what about a not-so-well-behaved network? Imagine a network running a six-bit sequence number space. Now imagine that one of the routers on the network malfunctions, but as it does so, it blurts out three identical LSAs with a sequence number of 44 (101100). Unfortunately, a identical LSAs with a sequence number of 44 (101100). Unfortunately, a neighboring router is also malfunctioningit is dropping bits. The neighbor drops a bit in the sequence number field of the second LSA, drops yet another bit in the third LSA, and floods all three. The result is three identical LSAs with three different sequence numbers:
44 (101100) 40 (101000) 8 (001000)
Applying the circularity rules reveals that 44 is more recent than 40, which is more recent than 8, which is more recent than 44! The result is that every LSA will be continuously flooded, and databases will be continually overwritten with the "latest" LSA, until finally buffers become clogged with LSAs, CPUs become overloaded, and the entire network comes crashing down.
This chain of events sounds quite far-fetched. It is, however, factual. The ARPANET, the precursor of the modern Internet, ran an early link state protocol with a six-bit circular sequence number space; on October 27, 1980, two routers experiencing the malfunctions just described brought the entire ARPANET to a standstill. [11]
[11] E. C. Rosen. "Vulnerabilities of Network Control Protocols: An Example." Computer Communication Review, July 1981.
Lollipop-Shaped Sequence Number Spaces
This whimsically-named construct was proposed by Dr. Radia Perlman. [12] Lollipop-shaped sequence number spaces are a hybrid of linear and circular sequence number spaces; if you think about it, a lollipop has alinear component and a circular component. The problem with circular spaces is that there is no number less than all other numbers. The problem with linear spaces is that they arewellnot circular. That is, their set of sequence numbers is finite.
[12] R. Perlman. "Fault-Tolerant Broadcasting of Routing Information." Computer Networks, Vol. 7, December 1983, pp. 395405.
When Router A restarts, it would be nice to begin with a number a that is less than all other numbers. Neighbors will recognize this number for what it is, and if they have a pre-restart number b in their databases from Router A, they can send that number to Router A and Router A will jump to that sequence number. Router A might be able to send more than one LSA before hearing about the sequence number it had been using before restarting. Therefore, it is important to have enough restart numbers so that A cannot use them all before neighbors either inform it of a previously used number, or the previously used number ages out of all databases.
These linear restart numbers form the stick of the lollipop. When they have been used up, or after a neighbor has provided a sequence number to which A can jump, A enters a circular number space, the candy part of the lollipop.
One way of designing a lollipop address space is to use signed sequence numbers, where k< 0 < k. The negative numbers counting up from k to 1 form the stick, and the positive numbers from 0 to k are the circular space. Perlman's rules for the sequence numbers are as follows. Given two numbers a and b and a sequence number space n, b is more recent than a if and only if
a < 0 and a < b, or a > 0, a < b, and (b a) < n/2, or a > 0, b > 0, a > b, and (a b) > n/2
Figure 4-10 shows an implementation of the lollipop-shaped sequence number space. A 32-bit signed number space N is used, yielding 2 31 positive numbers and 2 31 negative numbers. N (2 31 , or 0x80000000) and N 1 (2 31 1, or 0x7FFFFFFF) are not used. A router coming online will begin its sequence numbers at N + 1 (0x80000001) and increment up to zero, at which time it has entered the circular number space. When the sequence reaches N 2 (0x7FFFFFFE), the sequence wraps back to zero (again, N 1 is unused).
Figure 4-10. Lollipop-shaped sequence number space.
Next, suppose the router restarts. The sequence number of the last LSA sent before the restart is 0x00005de3 (part of the circular sequence space). As it synchronizes its database with its neighbor after the restart, the router sends an LSA with a sequence number of 0x80000001 (N + 1). The neighbor looks into its own database and finds the pre-restart LSA with a sequence number of 0x00005de3. The neighbor sends this LSA to the restarted router, essentially saying, "This is where you left off." The restarted router then records the LSA with the positive sequence number. If it needs to send a new copy of the LSA at some future time, the newsequence number will be 0x00005de6.
Lollipop sequence spaces were used with the original version of OSPF, OSPFv1 (RFC 1131). Although the use of signed numbers was an improvement over the linear number space, the circular part was found to be vulnerable to the same ambiguities as a purely circular space. The deployment of OSPFv1 never progressed beyond the experimental stage. The current version of OSPF, OSPFv2 (originally specified in RFC 1247), adopts the best features of linear and lollipop sequence number spaces. It uses a signed number space like lollipop sequence numbers, beginning with 0x80000001. However, when the sequence number goes positive, the sequence space continues to be linear until it reaches the maximum of 0x7FFFFFFF. At that point, the OSPF process must flush the LSA from all link state databases before restarting.
Aging
The LSA format should include a field for the age of the advertisement. When an LSA is created, the router sets this field to one. As the packet is flooded, each router increments the age of the advertisement. [13] [13]
Of course, another option would be to start with some maximum age and decrement. OSPF increments; IS-IS decrements.
This process of aging adds another layer of reliability to the flooding process. The protocol defines a maximum age difference (MaxAgeDiff) value for the network. A router might receive multiple copies of the same LSA with identical sequence numbers but different ages. If the difference in the ages is lower than the MaxAgeDiff, it is assumed that the age difference was the result of normal network latencies; the original LSA in the database is retained, and the newer LSA (with the greater age) is not flooded. If the difference is greater than the MaxAgeDiff value, it is assumed that an anomaly has occurred in the network in which a new LSA was sent without incrementing the sequence number. In this case, the newer LSA will be recorded, and the packet will be flooded. A typical MaxAgeDiff value is 15 minutes (used by OSPF).The age of an LSA continues to be incremented as it resides in a link state database. If the age for a link state record is incremented up to some maximum age (MaxAge)again defined by the specific routing protocol the LSA, with age field set to the MaxAge value, is flooded to all neighbors and the record is deleted from the databases.
If the LSA is to be flushed from all databases when MaxAge is reached, there must be a mechanism to periodically validate the LSA and reset its timer before MaxAge is reached. A link state refresh time (LSRefreshTime) [14] is established; when this time expires, a router floods a new LSA to all its neighbors, who will reset the age of the sending router's records to the new received age. OSPF defines a MaxAge of 1 hour and an LSRefreshTime of 30 minutes.
[14] LSRefreshTime, MaxAge, and MaxAgeDiff are OSPF architectural constants.
Link State Database
In addition to flooding LSAs and discovering neighbors, a third major task of the link state routing protocol is establishing the link state database. The link state or topological database stores the LSAs as a series of records. Although a sequence number and age and possibly other information are included in the LSA, these variables exist mainly to manage the flooding process. The important information for the shortest path determination process is the advertising router's ID, its attached networks and neighboring routers, and the cost associated with those networks or neighbors. As the previous sentence implies, LSAs might include two types of generic information: [15] [15] Actually, there can be more than two types of information and multiple types of link state packets. They are covered in the chapters on specific link state protocols. Router link information advertises a router's adjacent neighbors with a triple of (Router ID, Neighbor ID, Cost), where cost is the cost of the link to the neighbor.Stub network information advertises a router's directly connected stub subnets (subnets with no neighbors) with a triple of (Router ID, Network ID, Cost).
The shortest path first (SPF) algorithm is run once for the router link information to establish shortest paths to each router, and then stub network information is used to add these networks to the routers. Figure 4-11 shows a network of routers and the links between them; stub networks are not shown for the sake of simplicity. Notice that several links have different costs associated with them at each end. A cost is associated with the outgoing direction of an interface. For instance, the link from RB to RC has a cost of 1, but the same link has a cost of 5 in the RC to RB direction.
Figure 4-11. Link costs are calculated for the outgoing direction from an interface and do not necessarily have to be the same at all interfaces on a link.Table 4-2 shows a generic link state database for the network of Figure 4-11, a copy of which is stored in every router. As you read through this database, you will see that it completely describes the network. Now it is possible to compute a tree that describes the shortest path to each router by running the SPF algorithm.
Table 4-2. Topological database for the network in Figure 4-11.
Router ID Neighbor Cost
RA RB 2 RA RD 4 RA RE 4 RB RA 2 RB RC 1 RB RE 10 RC RB 5 RC RF 2 RD RA 4 RD RE 3 RD RG 5 RE RA 5RE RB 2 RE RD 3 RE RF 2 RE RG 1 RE RH 8 RF RC 2 RF RE 2 RF RH 4 RG RD 5 RG RE 1 RH RE 8 RH RF 6
SPF Algorithm
It is unfortunate that Dijkstra's algorithm is so commonly referred to in the routing world as the shortest path first algorithm. After all, the objective of every routing protocol is to calculate shortest paths. It is also unfortunate that Dijkstra's algorithm is often made to appear more esoteric than it really is; many writers just can't resist putting it in set theory notation. The clearest description of the algorithm comes from E. W. Dijkstra's original paper. Here it is in his own words, followed by a "translation" for the linkstate routing protocol: Construct [a] tree of minimum total length between the n nodes. (The tree is a graph with one and only one path between every two nodes.) In the course of the construction that we present here, the branches are divided into three sets:
I. the branches definitely assigned to the tree under construction (they will be in a subtree); II. the branches from which the next branch to be added to set I, will be selected; III. the remaining branches (rejected or not considered). The nodes are divided into two sets: A. the nodes connected by the branches of set I, B. the remaining nodes (one and only one branch of set II will lead to each of these nodes).
We start the construction by choosing an arbitrary node as the only member of set A, and by placing all branches that end in this node in set II. To start with, set I is empty. From then onwards we perform the following two steps repeatedly.
Step 1. The shortest branch of set II is removed from this set and added to set I. As a result, one node is transferred from set B to set A.
Step 2. Consider the branches leading from the node, which has just been transferred to set A, to the nodes that are still in set B. If the branch under construction is longer than the corresponding branch in set II, it is rejected; if it is shorter, it replaces the corresponding branch in set II, and the latter is rejected.We then return to step 1 and repeat the process until sets II and B are empty. The branches in set I form the tree required. [16]
[16] E. W. Dijkstra. "A Note on Two Problems in Connexion with Graphs." Numerische Mathematik, Vol. 1, 1959, pp. 269271.
Adapting the algorithm for routers, first note that Dijkstra describes three sets of branches: I, II, and III. In the router, three databases represent the three sets:
The Tree Database This database represents set I. Links (branches) are added to the shortest path tree by adding them here. When the algorithm is finished, this database will describe the shortest path tree.
The Candidate Database This database corresponds to set II. Links are copied from the link state database to this list in a prescribed order, where they become candidates to be added to the tree. The Link State Database The repository of all links, as has been previously described. This topological database corresponds to set III.
Dijkstra also specifies two sets of nodes, set A and set B. Here the nodes are routers. Specifically, they are the routers represented by Neighbor ID in the Router Links triples (Router ID, Neighbor ID, Cost). Set A comprises the routers connected by the links in the Tree database. Set B is all other routers. Since the whole point is to find a shortest path to every router, set B should be empty when the algorithm is finished. Here's a version of Dijkstra's algorithm adapted for routers:
1. A router initializes the Tree database by adding itself as the root. This entry shows the router as its own neighbor, with a cost of 0. 2. All triples in the link state database describing links to the rootrouter's neighbors are added to the Candidate database. 3. The cost from the root to each link in the Candidate database is calculated. The link in the Candidate database with the lowest cost is moved to the Tree database. If two or more links are an equally low cost from the root, choose one. 4. The Neighbor ID of the link just added to the Tree database is examined. With the exception of any triple whose Neighbor ID is already in the Tree database, triples in the link state database describing that router's neighbors are added to the Candidate database. 5. If entries remain in the Candidate database, return to step 3. If the Candidate database is empty, terminate the algorithm. At termination, a single Neighbor ID entry in the Tree database should represent every router, and the shortest path tree is complete.
Table 4-3 summarizes the process and results of applying Dijkstra's algorithm to build a shortest path tree for the network in Figure 4-11. Router RA from Figure 4-11 is running the algorithm, using the link state database of Table 4-2. Figure 4-12 shows the shortest path tree constructed for Router RA by this algorithm. After each router calculates its own tree, it can examine the other routers' network link information and add the stub networks to the tree fairly easily. From this information, entries might be made into the routing table.
Table 4-3. Dijkstra's Algorithm Applied to the Database of Table 4-2 Candidate
Cost to Root
RA,RB,2 2 RA,RD,4 4 RA,RE,4 4
Tree Description
RA,RA,0 Router A adds itself to the tree as root. RA,RA,0 The links to all of RA's neighbors are added to the candidate list.RA,RD,4 4 RA,RA,0 RA,RB,2 (RA,RB,2) is the lowest-cost link on the candidate list, so it is added to the tree.
All of RB's neighbors except those already in the tree are added to the candidate list. (RA,RE,4) is a lower-cost link to RE than (RB,RE,10), so the latter is dropped from the candidate list.
RA,RE,4 4 RB,RC,1 3 RB,RE,10 12 RA,RD,4 4 RA,RA,0 RA,RB,2
RB,RC,1 (RB,RC,1) is the lowest-cost link on the candidate list, so it is added to the tree. All of RC's neighbors except those already on the tree become candidates.
RA,RE,4 4 RC,RF,2 5 RA,RE,4 4 RA,RA,0 RA,RB,2 RB,RC,1
RA,RD,4 (RA,RD,4) and (RA,RE,4) are both a cost of 4 from RA; (RC,RF,2) is a cost of 5. (RA,RD,4) is added to the tree and its neighbors become candidates. Two paths to RE are on the candidate list; (RD,RE,3)is a higher cost from RA and is dropped.
RC,RF,2 5 RD,RE,3 7 RD,RG,5 9 RC,RF,2 5 RA,RA,0 RA,RB,2 RB,RC,1 RA,RD,4
RA,RE,4 (RF,RE,1) is added to the tree. All of RE's neighbors not already on the tree are added to the candidate list. The higher-cost link to RG is dropped.
RD,RG,5 9 RE,RF,2 6 RE,RG,1 5 RE,RH,8 12
RE,RF,2 6 RA,RA,0 RE,RG,1 5 RA,RB,2 RE,RH,8 12 RB,RC,1 RF,RH,4 9 RA,RD,4 (RC,RF,2) is added to the tree, and its neighbors are added to the candidate list. (RE,RG,1) could have been selected instead because it has the same cost (5) from RA. The higher-cost path to RH is dropped.
RA,RE,4 RC,RF,2 RF,RH,4
9
RA,RA,0 RA,RB,2 RB,RC,1 RA,RD,4 RA,RE,4 RC,RF,2 RE,RG,1
(RE,RG,1) is added to the tree. RG has no neighbors that are not already on the tree, so nothing is added to the candidate list.RA,RA,0
RA,RB,2 RB,RC,1 RA,RD,4 RA,RE,4 RC,RF,2 RE,RG,1 RF,RH,4
(RF,RH,4) is the lowest-cost link on the candidate list, so it is added to the tree. No candidates remain on the list, so the algorithm is terminated. The shortest path tree is complete.
Figure 4-12. Shortest path tree derived by the algorithm in Table 4-3.
Areas
An area is a subset of the routers that make up a network. Dividing anetwork into areas is a response to three concerns commonly expressed about link state protocols:
- The necessary databases require more memory than a distance vector protocol requires.
- The complex algorithm requires more CPU time than a distance vector protocol requires.
- The flooding of link state packets adversely affects available bandwidth, particularly in unstable networks.
Modern link state protocols and the routers that run them are designed to reduce these effects, but cannot eliminate them. The last section examined what the link state database might look like, and how an SPF algorithm might work, for a small eight-router network. Remember that the stub networks that would be connected to those eight routers and that would form the leaves of the SPF tree were not taken into consideration. Now, imagine an 8000-router network, and you can understand the concern about the impact on memory, CPU, and bandwidth.
This impact can be greatly reduced by the use of areas, as in Figure 4-13. When a network is subdivided into areas, the routers within an area need to flood LSAs only within that area and therefore need to maintain a link state database only for that area. The smaller database means less required memory in each router and fewer CPU cycles to run the SPF algorithm on that database. If frequent topology changes occur, the resulting flooding will be confined to the area of the instability.
Figure 4-13. Use of areas reduces link state's demand for system resources.The routers connecting two areas (Area Border Routers, in OSPF terminology) belong to both areas and must maintain separate topological databases for each. Just as a host on one network that wants to send a packet to another network only needs to know how to find its local router, a router in one area that wants to send a packet to another area only needs to know how to find its local Area Border Router. In other words, the intra-area router/inter-area router relationship is the same as the host/router relationship but at a higher hierarchical level. Distance vector protocols, such as RIP and IGRP, do not use areas.
Given that these protocols have no recourse but to see a large network as a single entity, must calculate a route to every network, and must broadcast the resulting huge route table every 30 or 90 seconds, it becomes clear that link state protocols utilizing areas can conserve system resources.