Abstract
Agreement problems are essential building blocks for fault-tolerant distributed applications. Among them, consensus protocols have been developing actively over the last decade. Raft consensus protocol is a simple leader-based consensus protocol. It is widely used in distributed databases and storage systems such as Apache Kudu, RavenDB, and so on. They often run on a cloud and virtual environment with a flexible configuration. According to the popularity of such an environment, the protocol should take account of the flexibility of the environment. This paper proposes a flexible resource management mechanism for a Raft cluster. Then, we show the performance evaluation of the proposed protocol regarding messages sent by nodes.
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References
Boichat, R.: Reliable and total order broadcast in the crash-recovery model. Ph.D. thesis, EPFL, Lausanne, Switzerland (2001)
Boichat, R., Dutta, P., Frølund, S., Guerraoui, R.: Deconstructing Paxos. Technical report, DSC-200106, EPFL, Lausanne, Switzerland (2001)
Chandra, T.D., Griesemer, R., Redstone, J.: Paxos made live: an engineering perspective. In: Proceedings of the Twenty-sixth Annual ACM Symposium on Principles of Distributed Computing, PODC 2007, pp. 398–407. ACM, New York (2007). https://doi.org/10.1145/1281100.1281103
Chandra, T.D., Toueg, S.: Unreliable failure detectors for reliable distributed systems. J. ACM 43(2), 225–267 (1996). https://doi.org/10.1145/226643.226647
Fischer, M.J., Lynch, N.A., Paterson, M.S.: Impossibility of distributed consensus with one faulty process. J. ACM 32(2), 374–382 (1985). https://doi.org/10.1145/3149.214121
Lamport, L.: Paxos made simple. SIGACT News 32(4), 18–25 (2001)
Nakagawa, T., Hayashibara, N.: Energy efficient raft consensus algorithm. In: Advances in Network-Based Information Systems, The 20th International Conference on Network-Based Information Systems, NBiS 2017, Ryerson University, Toronto, ON, Canada, 24–26 August 2017, pp. 719–727 (2017)
Ongaro, D., Ousterhout, J.: In search of an understandable consensus algorithm. In: Proceedings of the 2014 USENIX Conference on USENIX Annual Technical Conference, USENIX ATC 2014, pp. 305–320. USENIX Association, Berkeley, CA, USA (2014). http://dl.acm.org/citation.cfm?id=2643634.2643666
Pâris, J.F., Long, D.D.E.: Reducing the energy footprint of a distributed consensus algorithm. In: 2015 11th European Dependable Computing Conference (EDCC), pp. 198–204 (2015). 10.1109/EDCC.2015.25
Pass, R., Shi, E.: The sleepy model of consensus. In: Takagi, T., Peyrin, T. (eds.) Advances in Cryptology -ASIACRYPT 2017, pp. 380–409. Springer, Cham (2017)
Urban, P., Hayashibara, N., Schiper, A., Katayama, T.: Performance comparison of a rotating coordinator and a leader based consensus algorithm. In: Proceedings of the 23rd IEEE International Symposium on Reliable Distributed Systems, SRDS 2004, pp. 4–17. IEEE Computer Society, Washington, DC, USA (2004)
Van Renesse, R., Altinbuken, D.: Paxos made moderately complex. ACM Comput. Surv. 47(3), 42:1–42:36 (2015). https://doi.org/10.1145/2673577
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Nakagawa, T., Hayashibara, N. (2019). Flexible Resource Management for Raft Clusters. In: Barolli, L., Leu, FY., Enokido, T., Chen, HC. (eds) Advances on Broadband and Wireless Computing, Communication and Applications. BWCCA 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-02613-4_17
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DOI: https://doi.org/10.1007/978-3-030-02613-4_17
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