School of Computing Science Simon Fraser University CMPT 880: Internet Architectures and Protocols

1. School of Computing Science Simon Fraser University CMPT 880: Internet Architectures and Protocols Introduction II Instructor: Dr. Mohamed Hefeeda

2. Review of Basic Networking Concepts • Internet structure • Protocol layering and encapsulation • Internet services and socket programming • Network Layer • Network types: Circuit switching, Packet switching • Addressing, Forwarding, Routing • Transport layer • Reliability and congestion control • TCP, UDP • Link Layer • Multiple Access Protocols • Ethernet

3. Recall the big picture… • ICMP protocol • error reporting • router “signaling” • IP protocol • addressing conventions • datagram format • packet handling conventions • Routing protocols • path selection • RIP, OSPF, BGP forwarding table Network Layer in the Internet Transport layer: TCP, UDP Network layer Link layer physical layer

4. 5 3 5 2 2 1 3 1 2 1 x w z u y v Graph Abstraction • Graph: G = (N,E) • N = set of routers = {u, v, w, x, y, z } • E = set of links ={(u,v), (u,x), (v,x), (v,w), (x,w), (x,y), (w,y), (w,z), (y,z)} • cost of link (x1, x2): • Metric value, e.g., c(w,z) = 5 • could be • 1 (typical), or • inversely related to bandwidth, or • inversely related to congestion Routing algorithm: find the least-cost path

5. Global or local information? Global: all routers have complete topology, link cost info “link state” algorithms Local: each router knows physically-connected neighbors, link costs to neighbors iterative process of computation, exchange of info with neighbors “distance vector” algorithms Classification of Routing Algorithms

6. Dijkstra’s algorithm net topology, link costs known to all nodes accomplished via “link state broadcast” all nodes have same info computes least cost paths from one node (source) to all other nodes gives forwarding table for that node iterative: after k iterations, know least cost path to k destinations A Link-State Routing Algorithm

7. Notation: c(x,y): link cost from node x to y; c(x,y) = ∞ if not direct neighbors D(v): current value of cost of path from source to dest. v p(v): predecessor node along path from source to v N': set of nodes whose least cost path definitively known A Link-State Routing Algorithm

8. Dijsktra’s Algorithm 1 Initialization: 2 N' = {u} 3 for all nodes v 4 if v adjacent to u 5 then D(v) = c(u,v) 6 else D(v) = ∞ 7 8 Loop 9 find w not in N' such that D(w) is a minimum 10 add w to N' 11 update D(v) for all v adjacent to w and not in N' : 12 D(v) = min { D(v), D(w) + c(w,v) } 13 /* new cost to v is either old cost to v or known 14 shortest path cost to w plus cost from w to v */ 15 until all nodes in N'

9. 5 3 5 2 2 1 3 1 2 1 x z w y u v Dijkstra’s algorithm: example D(v),p(v) 2,u 2,u 2,u D(x),p(x) 1,u D(w),p(w) 5,u 4,x 3,y 3,y D(y),p(y) ∞ 2,x Step 0 1 2 3 4 5 N' u ux uxy uxyv uxyvw uxyvwz D(z),p(z) ∞ ∞ 4,y 4,y 4,y

10. x z w u y v destination link (u,v) v (u,x) x y (u,x) (u,x) w z (u,x) Dijkstra’s algorithm: example (2) Resulting shortest-path tree from u: Resulting forwarding table in u:

11. What is the time complexity of Dijkstra’s algorithm? Input: n nodes (other than source) each iteration: need to check all nodes not in N 1st iteration : n comparisons 2nd : n -1 3rd : n-2 nth : 1 Total: n(n+1)/2 comparisons  complexity : O(n2) more efficient implementations possible: O(nlogn) Using heap data structure Dijkstra’s algorithm, discussion

12. Distance Vector Algorithm Bellman-Ford Equation (dynamic programming) Define dx(y) := cost of least-cost path from x to y Then dx(y) = min {c(x,v) + dv(y) } where min is taken over all neighbors v of x v

13. 5 3 5 2 2 1 3 1 2 1 x z w u y v Bellman-Ford example Determine du(z) Clearly, dv(z) = 5, dx(z) = 3, dw(z) = 3 B-F equation says: du(z) = min { c(u,v) + dv(z), c(u,x) + dx(z), c(u,w) + dw(z) } = min {2 + 5, 1 + 3, 5 + 3} = 4 How would you use BF equation to construct shortest paths?

14. Distance Vector Algorithm • Define • Dx(y) = estimate of least cost from x to y • Distance vector: Dx = [Dx(y): y є N ] • Node x knows cost to each neighbor v: c(x,v) • Node x maintains Dx = [Dx(y): y є N ] • Node x also maintains its neighbors’ distance vectors • For each neighbor v, x maintains Dv = [Dv(y): y є N ]

15. Distance vector algorithm Basic idea: • Each node periodically sends its own distance vector estimate to neighbors • When a node x receives new DV estimate from neighbor, it updates its own DV using B-F equation: Dx(y) ← minv{c(x,v) + Dv(y)} for each node y ∊ N • Under minor, natural conditions, the estimate Dx(y) converge to the actual least cost dx(y)

16. Iterative Continues until no more info is exchanged Each iteration caused by: local link cost change DV update message from neighbor Asynchronous Nodes do not operate in lockstep Distributed Each node receives info only from its directly attached neighbors NO Global info wait for (change in local link cost or msg from neighbor) recompute estimates if DV to any dest has changed, notify neighbors Distance Vector Algorithm Each node:

17. cost to x y z x 0 2 7 y from ∞ ∞ ∞ z ∞ ∞ ∞ 2 1 7 z x y Dx(z) = min{c(x,y) + Dy(z), c(x,z) + Dz(z)} = min{2+1 , 7+0} = 3 Dx(y) = min{c(x,y) + Dy(y), c(x,z) + Dz(y)} = min{2+0 , 7+1} = 2 node x table cost to cost to x y z x y z x 0 2 3 x 0 2 3 y from 2 0 1 y from 2 0 1 z 7 1 0 z 3 1 0 node y table cost to cost to cost to x y z x y z x y z x ∞ ∞ x 0 2 7 ∞ 2 0 1 x 0 2 3 y y from 2 0 1 y from from 2 0 1 z z ∞ ∞ ∞ 7 1 0 z 3 1 0 cost to cost to Example node z table cost to x y z x y z x y z x 0 2 7 x 0 2 3 x ∞ ∞ ∞ y y 2 0 1 from from y 2 0 1 from ∞ ∞ ∞ z z z 3 1 0 3 1 0 7 1 0 time

18. 1 x z y Distance Vector: link cost changes Link cost decreased: • node detects local link cost change • updates routing info, recalculates distance vector • if DV changes, notify neighbors 4 1 50 At time t0, y detects the link-cost change, updates its DV, and informs its neighbors. At time t1, z receives the update from y and updates its table. It computes a new least cost to x and sends its neighbors its DV. At time t2, y receives z’s update and updates its distance table. y’s least costs do not change and hence y does not send any message to z. “good news travels fast”

19. 60 x z y Distance Vector: link cost changes Link cost increased: • t0: y detects change, updates its cost to x to be 6. Why? • Because z previously told y that “I can reach x with cost of 5.” • 6 = min {60+0, 1+5} • Now we have a routing loop! • Pkts destined to x from y go back and forth between y and z forever (or until loop is broken) • t1: z gets the update from y. z updates its cost to x to be?? • 7 = min {50+0, 1+6} • Algorithm will take 44 iterations to stabilize • This is called “count to infinity” problem! • Solutions? 4 1 50 “Bad news travels slow”

20. 60 4 1 50 x z y Distance Vector: link cost changes Poisoned reverse: • If z routes through y to get to x: • Then z tells y that its (z’s) distance to x is infinity (so y won’t route to x via z) • Will this completely solve count to infinity problem? • No! Loops involving three or more nodes will not be detected

21. Message complexity LS: with n nodes, E links, O(nE) msgs sent DV:exchange between neighbors only But send entire table Speed of Convergence LS: O(n2) algorithm requires O(nE) msgs may have oscillations DV: convergence time varies may be routing loops count-to-infinity problem Robustness: what happens if router malfunctions? LS: node can advertise incorrect link cost each node computes only its own table  some degree of robustness DV: node can advertise incorrect path cost each node’s table used by others error propagates thru network In The Internet: LS: OSPF (recent, more features) DV: RIP (old, small nets) Comparison of LS and DV algorithms

22. scale: with 200 million destinations: can’t store all dest’s in routing tables! routing table exchange would swamp links! administrative autonomy internet = network of networks each network admin may want to control routing in its own network Hierarchical Routing Our routing study thus far - idealization • all routers identical • network “flat” … not true in practice

23. aggregate routers into regions, “autonomous systems” (AS) routers in same AS run same routing protocol “intra-AS” routing protocol routers in different AS can run different intra-AS routing protocol Gateway router Direct link to router in another AS Hierarchical Routing

24. Forwarding table is configured by both intra- and inter-AS routing algorithm Intra-AS sets entries for internal dests Inter-AS & Intra-As sets entries for external dests 3a 3b 2a AS3 AS2 1a 2c AS1 2b 3c 1b 1d 1c Inter-AS Routing algorithm Intra-AS Routing algorithm Forwarding table Interconnected ASes

25. Suppose router in AS1 receives datagram for which dest is outside of AS1 Router should forward packet towards one of the gateway routers, but which one? AS1 needs: to learn which dests are reachable through AS2 and which through AS3 to propagate this reachability info to all routers in AS1 Job of inter-AS routing! 3a 3b 2a AS3 AS2 1a AS1 2c 2b 3c 1b 1d 1c Inter-AS tasks

26. Determine from forwarding table the interface I that leads to least-cost gateway. Enter (x,I) in forwarding table Use routing info from intra-AS protocol to determine costs of least-cost paths to each of the gateways Learn from inter-AS protocol that subnet x is reachable via multiple gateways Hot potato routing: Choose the gateway that has the smallest least cost Example: Choosing among multiple ASes • Now suppose AS1 learns from the inter-AS protocol that subnet x is reachable from AS3 and from AS2 • To configure forwarding table, router 1d must determine towards which gateway it should forward packets for dest x • Hot potato routing: send packet towards closest of two routers

27. Internet inter-AS routing: BGP • BGP (Border Gateway Protocol):the de facto standard • BGP provides each AS a means to: • Obtain subnet reachability information from neighboring ASes • Propagate the reachability information to all routers internal to the AS • Determine “good” routes to subnets based on reachability information and policy • Allows a subnet to advertise its existence to rest of the Internet: “I am here”

28. 3a 3b 2a AS3 AS2 1a 2c AS1 2b eBGP session 3c 1b 1d 1c iBGP session BGP basics • Pairs of routers (BGP peers) exchange routing info over semi-permanent TCP connections: BGP sessions • Note: BGP sessions do not correspond to physical links • When AS2 advertises a prefix to AS1, AS2 is promising it will forward any datagrams destined to that prefix towards the prefix • AS2 can aggregate prefixes in its advertisement

29. 3a 3b 2a AS3 AS2 1a 2c AS1 2b eBGP session 3c 1b 1d 1c iBGP session Distributing reachability info • With eBGP session between 3a and 1c, AS3 sends prefix reachability info to AS1 • 1c can then use iBGP to distribute this new prefix reach info to all routers in AS1 • 1b can then re-advertise the new reachability info to AS2 over the 1b-to-2a eBGP session • When router learns about a new prefix, it creates an entry for the prefix in its forwarding table.

30. Path attributes & BGP routes • When advertising a prefix, advert. includes BGP attributes • prefix + attributes = “route” • Two important attributes: • AS-PATH: contains the ASes on the path to the prefix • NEXT-HOP: Indicates the specific internal-AS router to next-hop AS. (There may be multiple links from current AS to next-hop-AS.) • When gateway router receives route advert., uses import policy to accept/decline

31. BGP messages • BGP messages exchanged using TCP • BGP messages: • OPEN: opens TCP connection to peer and authenticates sender • UPDATE: advertises new path (or withdraws old) • KEEPALIVE keeps connection alive in absence of UPDATES; also ACKs OPEN request • NOTIFICATION: reports errors in previous msg; also used to close connection

32. BGP route selection • Router may learn about more than 1 route to some prefix. Router must select a route • Elimination rules: • Local preference value attribute: policy decision • Shortest AS-PATH • Closest NEXT-HOP router: hot potato routing • Additional criteria

33. BGP Routing Policy • A,B,C are provider networks • X,W,Y are customer (of provider networks) • X is dual-homed: attached to two provider networks • X does not want to route traffic from B via X to C • … so X will not advertise to B a route to C

34. BGP Routing Policy (2) • A advertises to B the path AW • B advertises to X (its client) the path BAW • Should B advertise to C the path BAW? • No way! B gets no “revenue” for routing CBAW since neither W nor C are B’s customers • Rule of thumb: a provider wants to route only to/from its customers! (unless there is a mutual peering deal)

35. Why different Intra- and Inter-AS routing ? Policy: • Inter-AS: admin wants control over how its traffic routed, who routes through its net. • Intra-AS: single admin, so no policy decisions needed Scale: • hierarchical routing saves table size, reduced update traffic Performance: • Intra-AS: can focus on performance • Inter-AS: policy may dominate over performance

36. Unicast, multicast, broadcast • Unicast: one source, one destination • E.g., web session • Multicast: one source, multiple destinations • Subset of all possible destinations • E.g., streaming a hockey game to interested fans • Broadcast: one source, all destinations • E.g., broadcasting link state info to ALL routers in a domain in OSPF protocol • Anycast: multiple possible sources, one destination • Sources have same (anycast) address • Request is forwarded to appropriate source • (Still in research phases) • We will not cover these topics!