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BChain: Byzantine Replication with High Throughput and Embedded Reconfiguration

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Principles of Distributed Systems (OPODIS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8878))

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Abstract

In this paper, we describe the design and implementation of BChain, a Byzantine fault-tolerant state machine replication protocol, which performs comparably to other modern protocols in fault-free cases, but in the face of failures can also quickly recover its steady state performance. Building on chain replication, BChain achieves high throughput and low latency under high client load. At the core of BChain is an efficient Byzantine failure detection mechanism called re-chaining, where faulty replicas are placed out of harm’s way at the end of the chain, until they can be replaced. Our experimental evaluation confirms our performance expectations for both fault-free and failure scenarios. We also use BChain to implement an NFS service, and show that its performance overhead, with and without failures, is low, both compared to unreplicated NFS and other BFT implementations.

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References

  1. Abd-El-Malek, M., Ganger, G., Goodson, G., Reiter, M., Wylie, J.: Fault-scalable Byzantine fault-tolerant services. In: SOSP, pp. 59–74. ACM Press (2005)

    Google Scholar 

  2. Adams, J., Ramarao, K.: Distributed diagnosis of Byzantine processors and links. In: ICDCS, pp. 562–569. IEEE Computer Society (1989)

    Google Scholar 

  3. Baldoni, R., Helary, J., Raynal, M.: From crash fault-tolerance to arbitrary-fault tolerance: Towards a modular approach. In: DSN, pp. 273–282 (2000)

    Google Scholar 

  4. Benzel, T.: The science of cyber security experimentation: The DETER project. In: ACSAC (2011)

    Google Scholar 

  5. Castro, M., Liskov, B.: Practical Byzantine fault tolerance. In: OSDI, pp. 173–186. USENIX Association (1999)

    Google Scholar 

  6. Chandra, T., Hadzilacos, V., Toueg, S.: The weakest failure detector for solving consensus. J. ACM 43(4), 685–722 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  7. Chandra, T., Toueg, S.: Unreliable failure detectors for reliable distributed systems. Journal of the ACM 43(2), 225–267 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  8. Chiang, M., Wang, S., Tseng, L.: An early fault diagnosis agreement under hybrid fault model. Expert Syst. Appl. 36(3), 5039–5050 (2009)

    Article  Google Scholar 

  9. Clement, A., Wong, E., Alvisi, L., Dahlin, M., Marchetti, M.: Making Byzantine fault tolerant systems tolerate Byzantine faults. In: NSDI, pp. 153–168. USENIX Association (2009)

    Google Scholar 

  10. Coker, R.: http://www.coker.com.au/bonnie++

  11. Clement, A., Kapritsos, M., Lee, S., Wang, Y., Alvisi, L., Dahlin, M., Riche, T.: UpRight cluster services. In: SOSP, pp. 277–290. ACM Press (2009)

    Google Scholar 

  12. Cowling, J., Myers, D., Liskov, B., Rodrigues, R., Shrira, L.: HQ replication: A hybrid quorum protocol for Byzantine fault tolerance. In: OSDI, pp. 177–190. USENIX Association (2006)

    Google Scholar 

  13. Doudou, A., Garbinato, B., Guerraoui, R., Schiper, A.: Muteness failure detectors: Specification and implementation. In: Hlavicka, J., Maehle, E., Pataricza, A. (eds.) EDDC 1999. LNCS, vol. 1667, pp. 71–87. Springer, Heidelberg (1999)

    Google Scholar 

  14. Doudou, A., Garbinato, B., Guerraoui, R.: Encapsulating Failure Detection: From Crash to Byzantine Failures. In: Blieberger, J., Strohmeier, A. (eds.) Ada-Europe 2002. LNCS, vol. 2361, pp. 24–50. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  15. Dwork, C., Lynch, N., Stockmeyer, L.: Consensus in the presence of partial synchrony. J. ACM 35(2), 288–323 (1988)

    Article  MathSciNet  Google Scholar 

  16. Fischer, M., Lynch, N., Paterson, M.: Impossibility of distributed consensus with one faulty process. J. ACM 32(2), 374–382 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  17. Ghemawat, S., Gobioff, H., Leung, S.: The Google file system. In: SOSP, pp. 29–43 (2003)

    Google Scholar 

  18. Guerraoui, R., Knezevic, N., Quema, V., Vukolic, M.: The next 700 BFT protocols. In: EuroSys, pp. 363–376. ACM (2010)

    Google Scholar 

  19. Haeberlen, A., Kouznetsov, P., Druschel, P.: PeerReview: practical accountability for distributed systems. In: SOSP, pp. 175–188. ACM (2007)

    Google Scholar 

  20. Hendricks, J., Sinnamohideen, S., Ganger, G., Reiter, M.: Zzyzx: Scalable fault tolerance through Byzantine locking. In: DSN, pp. 363–372. IEEE Computer Society (2010)

    Google Scholar 

  21. Hirt, M., Maurer, U.M., Przydatek, B.: Efficient secure multi-party computation (Extended Abstract). In: Okamoto, T. (ed.) ASIACRYPT 2000. LNCS, vol. 1976, pp. 143–161. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  22. Hsiao, H., Chin, Y., Yang, W.: Reaching fault diagnosis agreement under a hybrid fault model. IEEE Transactions on Computers 49(9) (September 2000)

    Google Scholar 

  23. Kihlstrom, K.P., Moser, L.E., Melliar-Smith, P.M.: Byzantine Fault Detectors for Solving Consensus. Comput. J. 46(1), 16–35 (2003)

    Article  MATH  Google Scholar 

  24. Kotla, R., Alvisi, L., Dahlin, M., Clement, A., Wong, E.: Zyzzyva: Speculative Byzantine fault tolerance. In: SOSP, pp. 45–58. ACM (2007)

    Google Scholar 

  25. Lamport, L.: Using time instead of timeout for fault-tolerant distributed systems. Trans. on Programming Languages and Systems 6(2), 254–280 (1984)

    Article  Google Scholar 

  26. Lamport, L., Malkhi, D., Zhou, L.: Reconfiguring a state machine. SIGACT News 41(1), 63–73 (2010)

    Article  Google Scholar 

  27. Malkhi, D., Reiter, M.: Unreliable intrusion detection in distributed computations. In: CSFW, pp. 116–125 (1997)

    Google Scholar 

  28. Malkhi, D., Reiter, M.: Byzantine quorum systems. Distributed Computing 11(4) (1998)

    Google Scholar 

  29. Preperata, F., Metze, G., Chien, R.: On the connection asssignment problem of diagnosable systems. IEEE Transactions on Electronic Computers EC-16(6), 848–854 (1967)

    Article  Google Scholar 

  30. Ramarao, K., Adams, J.: On the diagnosis of Byzantine faults. In: Proc. Symp. Reliable Distributed Systems, pp. 144–153 (1988)

    Google Scholar 

  31. Schneider, F.: Implementing fault-tolerant services using the state machine approach: A tutorial. ACM Computing Surveys 22(4), 299–319 (1990)

    Article  Google Scholar 

  32. Serafini, M., Bondavalli, A., Suri, N.: Online diagnosis and recovery: On the choice and impact of tuning parameters. IEEE Trans. Dependable Sec. Comput. 4(4), 295–312 (2007)

    Article  Google Scholar 

  33. Shin, K., Ramanathan, P.: Diagnosis of processors with Byzantine faults in a distributed computing system. In: Proc. Symp. Fault-Tolerant Computing, pp. 55–60 (July 1987)

    Google Scholar 

  34. van Renesse, R., Ho, C., Schiper, N.: Byzantine chain replication. In: Baldoni, R., Flocchini, P., Binoy, R. (eds.) OPODIS 2012. LNCS, vol. 7702, pp. 345–359. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  35. van Renesse, R., Schneider, F.B.: Chain replication for supporting high throughput and availability. In: OSDI, pp. 91–104. USENIX Association (2004)

    Google Scholar 

  36. Vukolic, M.: Abstractions for asynchronous distributed computing with malicious players. PhD thesis. EPFL, Lausanne, Switzerland (2008)

    Google Scholar 

  37. Walter, C., Lincoln, P., Suri, N.: Formally verified on-line diagnosis. IEEE Trans. Software Eng. 23(11), 684–721 (1997)

    Article  Google Scholar 

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Duan, S., Meling, H., Peisert, S., Zhang, H. (2014). BChain: Byzantine Replication with High Throughput and Embedded Reconfiguration. In: Aguilera, M.K., Querzoni, L., Shapiro, M. (eds) Principles of Distributed Systems. OPODIS 2014. Lecture Notes in Computer Science, vol 8878. Springer, Cham. https://doi.org/10.1007/978-3-319-14472-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-14472-6_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14471-9

  • Online ISBN: 978-3-319-14472-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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