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Path Splicing Nick Feamster, Murtaza Motiwala, Megan Elmore, Santosh Vempala.

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Presentation on theme: "Path Splicing Nick Feamster, Murtaza Motiwala, Megan Elmore, Santosh Vempala."— Presentation transcript:

1 Path Splicing Nick Feamster, Murtaza Motiwala, Megan Elmore, Santosh Vempala

2 2 Idea: Backup/Multipath For intradomain routing –IP and MPLS fast re-route –Packet deflections [Yang 2006] –ECMP, NotVia, Loop-Free Alternates [Cisco] For interdomain routing –MIRO [Rexford 2006] Problem –Scale: Protecting against arbitrary failures requires storing lots of state, exchanging lots of messages –Control: End systems cant signal when they think a path has failed

3 3 Backup Paths: Promise and Problems Bad: If any link fails on both paths, s is disconnected from t Want: End systems remain connected unless the underlying graph has a cut ts

4 4 Path Splicing: Main Idea Step 1 (Generate slices): Run multiple instances of the routing protocol, each with slightly perturbed versions of the configuration Step 2 (Splice end-to-end paths): Allow traffic to switch between instances at any node in the protocol t s Compute multiple forwarding trees per destination. Allow packets to switch slices midstream.

5 5 Outline Path Splicing for Intradomain Routing –Generating slices –Constructing paths –Forwarding –Recovery Evaluation –Reliability and recovery –Stretch –Effects on traffic Path Splicing for Interdomain Routing Ongoing: Prototype and Deployment Paths

6 6 Generating Slices Goal: Each instance provides different paths Mechanism: Each edge is given a weight that is a slightly perturbed version of the original weight –Two schemes: Uniform and degree-based ts Base Graph ts Perturbed Graph

7 7 How to Perturb the Link Weights? Uniform: Perturbation is a function of the initial weight of the link Degree-based: Perturbation is a linear function of the degrees of the incident nodes –Intuition: Deflect traffic away from nodes where traffic might tend to pass through by default

8 8 Constructing Paths Goal: Allow multiple instances to co-exist Mechanism: Virtual forwarding tables a t c s b t a t c Slice 1 Slice 2 dstnext-hop

9 9 Forwarding Traffic One approach: shim header with forwarding bits Routers use lg(k) bits to index forwarding tables –Shift bits after inspection To access different (or multiple) paths, end systems simply change the forwarding bits –Incremental deployment is trivial –Persistent loops cannot occur Other variations are possible

10 10 Alternate Approach Use fewer bits per packet Each router along the path uses the same set of random bits as an input to select the next hop Advantages –Less per-packet overhead Disadvantages –Less direct control over path –No explicit prevention of loops

11 11 Forwarding: Putting It Together End system sets forwarding bits in packet header –Forwarding bits specify slice to be used at any hop Router examines/shifts bits, and forwards t s

12 12 Recovery Mechanisms End-system recovery –Switch slices at every hop with probability 0.5 Network-based recovery –Router switches to a random slice if next hop is unreachable –Continue for a fixed number of hops until destination is reached 12

13 13 Availability Evaluation: Two Aspects Reliability: Connectivity in the routing tables should approach the that of the underlying graph –If two nodes s and t remain connected in the underlying graph, there is some sequence of hops in the routing tables that will result in traffic Recovery: In case of failure (i.e., link or node removal), nodes should quickly be able to discover a new path

14 14 Availability Evaluation A definition for reliability Does path splicing improve reliability? –How close can splicing get to the best possible reliability (i.e., that of the underlying graph)? Can path splicing enable fast recovery? –Can end systems (or intermediate nodes) find alternate paths fast enough?

15 15 Reliability Definition Reliability: the probability that, upon failing each edge with probability p, the graph remains connected Reliability curve: the fraction of source- destination pairs that remain connected for various link failure probabilities p The underlying graph has an underlying reliability (and reliability curve) –Goal: Reliability of routing system should approach that of the underlying graph.

16 16 Reliability Curve: Illustration Probability of link failure (p) Fraction of source-dest pairs disconnected Better reliability More edges available to end systems -> Better reliability

17 17 Experimental Setup Evaluation on two topologies –GEANT (Real) and Sprint (Rocketfuel) Compute base graph by taking the union of k perturbed graphs Remove an edge from the base graph with probability p Compute number of pairs that could reach one another (average over 1,000 trials)

18 18 Reliability Approaches Optimal Sprint (Rocketfuel) topology 1,000 trials p indicates probability edge was removed from base graph Reliability approaches optimal Average stretch is only 1.3 Sprint topology, degree-based perturbations

19 19 Simple Recovery Strategies Work Well Which paths can be recovered within 5 trials? –Sequential trials: 5 round-trip times –…but trials could also be made in parallel Recovery approaches maximum possible Adding a few more slices improves recovery beyond best possible reliability with fewer slices.

20 20 Significant Novelty for Modest Stretch Novelty: difference in nodes in a perturbed shortest path from the original shortest path Example s d Novelty: 1 – (1/3) = 2/3 Fraction of edges on short path shared with long path

21 21 Evaluation Summary: Splicing Can Improve Availability Reliability: Connectivity in the routing tables should approach the that of the underlying graph –Approach: Overlay trees generated using random link-weight perturbations. Allow traffic to switch between them –Result: Splicing ~ 10 trees achieves near-optimal reliability Recovery: In case of failure, nodes should quickly be able to discover a new path –Approach: End nodes randomly select new bits –Result: Recovery within 5 trials approaches best possible.

22 22 Does Splicing Create Loops? Persistent loops are avoidable –In the simple scheme, path bits are exhausted from the header –Never switching back to the same Transient loops can still be a problem because they increase end-to-end delay (stretch) –Longer end-to-end paths –Wasted capacity –Two-hop loops do occur (around 1 in 100 trials for k=2, more for higher values of k), but can be avoided with the mechanisms above

23 23 Interactions with Traffic Maximum utilization unaffected

24 24 Path Splicing for Interdomain Routing Observation: Many routers already learn multiple alternate routes to each destination. Idea: Use the bits to index into these alternate routes at an ASs ingress and egress routers. Storing multiple entries per prefix Indexing into them based on packet headers Selecting the best k routes for each destination Required new functionality d default alternate Splice paths at ingress and egress routers

25 25 Interdomain Splicing Header Intradomain bits function as before Interdomain: Three sections –Ingress and egress –Policy: restrict illegal entries in the forwarding table

26 26 Experimental Setup 2,500-node policy-annotated AS graph Use C-BGP to compute routes on base graph Remove each inter-AS edge with probability p Test connectivity between a random subset of AS pairs Compute base reliability without policy restrictions

27 27 Interdomain Splicing: Reliability 2-slice deployment approaches best possible

28 28 Incremental Deployment Partial deployment provides some gains

29 29 Comparison: Routing Deflections 29

30 30 Effects on Traffic Data: Abilene traces and synthetic Sprint traffic Observations: –No adverse effects on traffic –Slightly balances traffic in the network –Due to longer paths, the overall utilization increases but is not significant ( ~ 4% for Abilene) Abilene Sprint 30

31 31 Effects on Traffic Abilene Topology 31

32 32 Ongoing Work Software implementation –Click Element –PlanetLab/VINI deployment Open questions –What API should the network layer provide? –How to perform monitoring/failure detection? Extension to Cisco Multi-Topology Routing –In-progress IETF draft

33 33 Open Questions and Ongoing Work How does splicing interact with traffic engineering? Sources controlling traffic? What are the best mechanisms for generating slices and recovering paths? Can splicing eliminate dynamic routing?

34 34 Possible Optimizations Reduce the size of the splicing header –could even be made to fit in some unused IP header field A single forwarding table could be used with optimizations More conscious selection of slices Forwarding Loops can be made even rarer –Limit the number of slice switches –Dont switch back to a slice 34

35 35 Conclusion Simple: Forwarding bits provide access to different paths through the network Scalable: Exponential increase in available paths, linear increase in state Stable: Fast recovery does not require fast routing protocols

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