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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
Arokia, R., Shanmugapriyaa, S.: Evolution of cloud storage as cloud computing infrastructure service. IOSR J. Comput. Eng. 1(1), 38–45 (2012)
Ousterhout, J., Agrawal, P., Erickson, D., et al.: The case for RAM Cloud. Commun. ACM 54, 121–130 (2011)
Lamport, L.: Paxos made simple. ACM SIGACT News 32(4), 18–25 (2001)
Ongaro, D., Ousterhout, J.: In search of an understandable consensus algorithm. In: Proceedings of ATC 2014, Usenix Annual Technical Conference, pp. 1–18 (2014)
Moraru, I., Andersen, D.G., Kaminsky, M.: There is more consensus in Egalitarian parliaments. In: SOSP, pp. 358–372 (2013)
Gray, J., Lamport, L.: Consensus on transaction commit. ACM Trans. Database Syst. 31(1), 133–160 (2006)
David, M.: Paxos Made Simple. http://www.scs.stanford.edu/~dm/home/papers/paxos.pdf
Tushar, C., Robert, G., Joshua, R.: Paxos made live - an engineering perspective. In: ACM PODC, pp. 1–16 (2007)
Lamport, L.: Fast Paxos. https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-2005-112.pdf
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)
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)
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)
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)
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)
Lamport, L., Malkhi, D., Zhou, L.: Reconfiguring a state machine. SIGACT News 41(1), 63–73 (2010)
GoLang. https://github.com/golang/go
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Lin, W., Sheng, X., Qi, L. (2019). An Optimized Multi-Paxos Consensus Protocol for Practical Cloud Storage Applications. In: Vaidya, J., Zhang, X., Li, J. (eds) Cyberspace Safety and Security. CSS 2019. Lecture Notes in Computer Science(), vol 11982. Springer, Cham. https://doi.org/10.1007/978-3-030-37337-5_47
Download citation
DOI: https://doi.org/10.1007/978-3-030-37337-5_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37336-8
Online ISBN: 978-3-030-37337-5
eBook Packages: Computer ScienceComputer Science (R0)