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4/12/20151 CompSci 514: Computer Networks Lecture 5: BGP problems Xiaowei Yang.

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Presentation on theme: "4/12/20151 CompSci 514: Computer Networks Lecture 5: BGP problems Xiaowei Yang."— Presentation transcript:

1 4/12/20151 CompSci 514: Computer Networks Lecture 5: BGP problems Xiaowei Yang

2 4/12/20152 Today Known problems of BGP –Multi-homing –Instability –Delayed convergence Slow failover Discussing fixes –Root cause, ghost flushing etc.

3 4/12/20153 Failover BGP is designed for scaling more than fast failover –Many mechanisms favor this balance –Route flap damping, for example. If excess routing changes (“flapping”), ignore for some time. Has unexpected effects on convergence times. –Route advertisement/withdrawal timers in the 30 second range –Effect: tens of seconds to many minutes to recover from “simple” failures. –15-30 minute outages not uncommon.

4 4/12/20154 Multi-homing Connect to multiple providers –Goal: Higher availability, more capacity Problems: –Provider-based addressing breaks –Everyone needs their own address space

5 4/12/20155 Multi-homing increases routing table size Mutil-home.com / / /16 ISP2 ISP1 You can reach /8 And /16 via ISP1 ISP /16 ISP / /8 ISP /16 ISP /8 ISP2

6 4/12/20156 Global routing tables continue to grow Source:

7 4/12/20157 Other BGP problems Convergence: BGP may explore many routes before finding the right new one. –Labovitz et al., SIGCOMM 2000 Correctness: routes may not be valid, visible, or loop-free. Security: There is none! –Some providers filter what announcements their customers can make. Not all do. –See paper discussion site for pointers

8 4/12/20158 Measurement studies Two papers (measurement) –End-to-end traffic –Routing messages Experimental techniques Results

9 4/12/20159 Internet Routing Instability Goals: how often BGP sends updates to change routes Methodology: –Analyzing BGP logs for a long time

10 Terms WADiff: withdrawal  announcement AADiff: announcement  announcement WADup: same route withdrawal  announcement AADup: same route announcement  announcement WWDup: same route withdrawal  wthdrawal 4/12/2015CPS 21410

11 Observed pathologies Repeated WWDup, WADup, AADup Why are they pathologies? 4/12/2015CPS 21411

12 4/12/ Majority of BGP updates are WWDup WWDup belong to ASes that never announce them Why? –Stateless BGP, does not remember what have sent to peers –Send withdrawals to all peers

13 Possible origins of instability Stateless BGP Physical link errors Unjittered timers IGP, BGP interactions Conflicting routing policies 4/12/201513

14 4/12/ Data analysis techniques Time series analysis Frequency analysis –Fast Fourier transform –Maximum entropy spectral estimation Different estimation methods, but both find significant frequencies at seven days, and 24 hours

15 Main results Much more updates than expected –99% is pathological. Impressive! –A taxonomy to analyze pathologies Speculation of causes –Configuration errors, router bugs –Correlate with traffic load, perhaps due to router architectures –Open research questions: root cause of updates Motivated much follow-up work 4/12/201515

16 4/12/ End-to-end routing behavior Goals: study routing pathologies, route stability, and routing asymmetry Methodology: –End-to-end measumrents –Traceroutes from N sites, N 2 paths –Exponentially spaced-out sampling Nice properties! Unbiased PASTA: the fraction of measures that observe a given state is equal to the time that the system spends in that state –Two datasets: D1 and D2 for different intervals 1~2 days, 2 hrs, 2.75 days

17 Measurement infrastructure 37 hosts 8% of Internet at that time Pair-wise traceroute 4/12/201517

18 4/12/ Pathologies Persistent loops: %, some lasted hours –Same router appearing in traceroute more than three times Erroneous routing: packets to UCL sent to Israel Mid-stream change, 0.16% (D1) and 0.44% (D2) –Suggests route change Infrastructure Failure: availability 99.8%, 99.5% –Unreachable to host –Telephone networks: 2 hours in 40 years, five nines Outages: more than six packet losses in a traceroute

19 4/12/ Stabilities Prevalence: the probability of observing a particular route Persistence: how long a route lasts Examples: –R1, R2, R1, R2 –R1, R1, R2, R2 –Same prevalence, different persistence

20 4/12/2015CPS Prevalence of dominant route P domp =k p /n p Internet paths are strongly dominated by one path

21 4/12/ /3 of routes persist for days

22 4/12/ Path asymmetry Common –Don’t assume path symmetry in your design –49% of measures have asymmetric paths differed by at least one city –30% observed different ASes –20% differ by more than one city/AS –Q: what might cause it?

23 Comments on this paper Seminal work on Internet measurement Solid data Rigorous analysis 4/12/201523

24 4/12/ Delayed Internet Convergence Measurement Problem discovery Modeling & analysis Improvement Methodologies

25 4/12/ Experiments setup Actively inject BGP faults –How is fault injected? Passively listen at peering sessions, and use NTP synchronized machines to calculate the convergence time Actively send probe packets to observe end-to-end packet loss and latency Much BGP work later uses similar measurement techniques.

26 4/12/ Results show delayed convergence Bad news travels slow.

27 4/12/ Slow routing convergence results in poor end-to-end performance

28 4/12/ What causes the delayed routing convergence? A simple BGP convergence model reveals that in the worse case, all possible paths are explored before a prefix is withdrawn. No minimum advertisement timer: synchronized network, global message queue 0 12 R (*0R, ∞,, 2R) (∞, ∞, *2R) (∞, ∞, *20R) (*0R, 1R, ∞,) (01R, *1R, ∞) (*01R, 10R, ∞,) (∞, *1R, 2R) (∞, ∞, *2R) (∞, ∞, ∞) 01R 10R 20R

29 4/12/ Min router Advertisement interval timer(MRAI) reduces message count Why? –MATI introduces synchronization. Multiple announcements are combined into one announcement, reducing the total message count. However, the convergence time becomes proportional to timer_interval * (n-3)

30 4/12/ Let’s brain storm… How can we fix the slow convergence problem? –What is the solution proposed by the authors? Sender-side loop detection. When a sender detects a loop, it sends a withdrawal to a neighbor immediately. Since withdrawal is not subject to MATI delay, this improvement reduces both message count and convergence time. –What exactly is the root cause of BGP’s slow convergence problem? –Can you come up with any solution?

31 4/12/ Sender-side loop detection Without sender-side loop detection: –AS3  AS1: 301R –This announcement is sent out when MRAI timer expires With sender-side loop detection: –AS3->AS1: withdrawal –Withdrawal is sent out immediately. AS1 knows it has no path.

32 4/12/ BGP assertion Detect path inconsistency between different neighbors If inconsistency is found, give path learned from direct neighbors high priority Sensitive to topology Does not eliminate all invalid paths N1R D XY N2 X N1  R: N1 X Y D R: N1 D N2 N1 D

33 4/12/ Ghost flushing If new path is worse than last announced path, and router advertisement timer has not expired yet, send a withdrawal immediately. The withdrawal flushes “ghost” information. Reduces the convergence time because withdrawals are not delayed by MRAI, but does not help much with “Tlong.” N1R D XY N2 X N1  R: withdrawal R: N1 D N2 N1 D

34 4/12/ BGP root cause notification Neither BGP-assertion nor ghost flushing works well in this topology. –Why? –BGP-assertion: 3 and 6 are both direct neighbors to 5, but their announcements may be inconsistent –BGP ghost flushing: the newer path is subject to MATI delay Explicitly send out link up/down information Essentially adds link-state information into BGP Sequence number is used to order the notifications. Open research problem: can you get rid of sequence number? X 6

35 4/12/ Summary BGP’s slow convergence problem and other problems It represents a message overhead, processing overhead, and latency tradeoff. We do not yet know the best solution to address this problem.

36 Comments Measurement paper –Data –Data collection techniques –Data analysis When to write a measurement paper 4/12/201536


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