Advertisement

An Optimized Multi-Paxos Consensus Protocol for Practical Cloud Storage Applications

  • Wenmin LinEmail author
  • Xuan Sheng
  • Lianyong Qi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11982)

Abstract

For cloud storage applications running typical Multi-Paxos protocol, the processing of a client command normally consists of two steps, i.e., commit and apply. Commit step is to guarantee a client command achieves identical sequence number among all storage replicas; apply step is to execute a committed client commands one by one in sequence and return back the execution result to client. In practice, committed client commands are not necessarily be applied after all its previous commands get applied. In view of this observation, an optimization for Multi-Paxos protocol is proposed to improve system performance for cloud storage applications in this paper. Compared with typical Multi-Paxos protocol, we allow out-of-order applying of committed client commands. And a committed client command can be applied as long as it has no dependency on its previous commands or all dependencies are resolved. Comparison between two protocols is implemented and analyzed to prove the feasibility of our proposal.

Keywords

Optimized Multi-Paxos Consensus protocol Out-of-order apply 

Notes

Acknowledgments

This paper is supported by The National Key Research and Development Program of China (No. 2017YFB1400601), National Natural Science Foundation of China (No. 61872119), Natural Science Foundation of Zhejiang Province (No. LY12F02003).

References

  1. 1.
    Wenying, Z., et al.: Research on cloud storage architecture and key technologies. In: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, pp. 1044–1048. ACM, Korea (2009)Google Scholar
  2. 2.
    Arokia, R., Shanmugapriyaa, S.: Evolution of cloud storage as cloud computing infrastructure service. IOSR J. Comput. Eng. 1(1), 38–45 (2012)CrossRefGoogle Scholar
  3. 3.
    Ousterhout, J., Agrawal, P., Erickson, D., et al.: The case for RAM Cloud. Commun. ACM 54, 121–130 (2011)CrossRefGoogle Scholar
  4. 4.
    Lamport, L.: Paxos made simple. ACM SIGACT News 32(4), 18–25 (2001)Google Scholar
  5. 5.
    Ongaro, D., Ousterhout, J.: In search of an understandable consensus algorithm. In: Proceedings of ATC 2014, Usenix Annual Technical Conference, pp. 1–18 (2014)Google Scholar
  6. 6.
    Moraru, I., Andersen, D.G., Kaminsky, M.: There is more consensus in Egalitarian parliaments. In: SOSP, pp. 358–372 (2013)Google Scholar
  7. 7.
    Gray, J., Lamport, L.: Consensus on transaction commit. ACM Trans. Database Syst. 31(1), 133–160 (2006)CrossRefGoogle Scholar
  8. 8.
  9. 9.
    Tushar, C., Robert, G., Joshua, R.: Paxos made live - an engineering perspective. In: ACM PODC, pp. 1–16 (2007)Google Scholar
  10. 10.
  11. 11.
    Jun, R., Eugene, J.S., Sandeep, T.: Using Paxos to build a scalable, consistent, and highly available datastore. Proc. VLDB Endow. 4(4), 243–254 (2011)CrossRefGoogle Scholar
  12. 12.
    Ailidani, A., Aleksey, C., Murat, D.: Consensus in the cloud: Paxos systems demystified. In: 2016 25th International Conference on Computer Communication and Networks, pp. 1–10 (2016)Google Scholar
  13. 13.
    Parisa, J.M., et al.: The performance of Paxos in the cloud. In: Proceedings of the 2014 IEEE 33rd International Symposium on Reliable Distributed Systems, pp. 41–50 (2014)Google Scholar
  14. 14.
    Jonathan, K., Yair, A.: Paxos for system builders: an overview. In: Proceedings of the 2nd Workshop on Large-Scale Distributed Systems and Middleware, pp. 1–5 (2008)Google Scholar
  15. 15.
    Wang, C., Jiang, J., Chen, X., Yi, N., Cui, H.: Apus: fast and scalable Paxos on RDMA. In: Proceedings of the 2017 Symposium on Cloud Computing, pp. 94–107 (2017)Google Scholar
  16. 16.
    Lamport, L., Malkhi, D., Zhou, L.: Reconfiguring a state machine. SIGACT News 41(1), 63–73 (2010)CrossRefGoogle Scholar
  17. 17.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceHangzhou Dianzi UniversityHangzhouChina
  2. 2.State Key Laboratory of Complex System Modeling and SimulationHangzhouChina
  3. 3.State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingChina
  4. 4.School of Information Science and EngineeringQufu Normal UniversityJiningChina

Personalised recommendations