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Election-Quorum-Based Coordinator Election Algorithm for Distributed Systems

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Computing in Engineering and Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1025))

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Abstract

Today mostly all applications are designed to be distributed. The main intention behind it is to avoid losses due to the failure of the central entity in centralized systems. The key element in distributed systems is coordinator or leader entity. Coordinator plays critical role in distributed systems, specially for performing tasks like simplifying process synchronization and load balancing. Hence electing one of the entities as a coordinator is an important problem. But in practice, coordinator election process in distributed systems is vulnerable to faults and failures hence it is necessary to design a coordinator election algorithm to tolerate faults and failures. In this paper, the notion of fault tolerant Election Quorum (further termed as ‘EQuorum’) method for coordinator election is introduced. The challenges in the existing algorithms are identified and proposed an EQuorum-based fault tolerant coordinator election algorithm. This algorithm can tolerate failure of communication links and entities. The number of messages, time to terminate algorithm and failover time of the proposed algorithm are identified, evaluated and analysed. Thus, this paper proposes a fault-tolerant coordinator election algorithm for partially synchronous distributed systems which outperforms in message and time performance measures. It is observed that EQuorum outperforms as compared to existing election algorithms and provides additional feature of fault tolerance.

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References

  1. Deshpande, P., Sharma, S.C., Peddoju, S.K.: Data storage security in cloud paradigm. In: Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol. 436, pp. 247–259 (2016)

    Google Scholar 

  2. Soundarabai, P., Triveni, J., Venugopal, K., Patanaik, L.: An improved leader election algorithm for distributed systems. Int. J. Next Gen. Netw. (IJNGN) 5, 21–29 (2013)

    Article  Google Scholar 

  3. Rachid, G., Matej, P., Dragos-Adrian, S.: Blockchain protocol: adversary is in the details. In: Symposium on Foundation and Applications of Blockchain (FAB), Los Angeles, California USA, pp. 24–30 (2018)

    Google Scholar 

  4. Lynch, N.: Distributed Algorithms, 1st edn. Morgan Kaufman, ELSEVIER Science India (1996)

    Google Scholar 

  5. Molina, H.: Election in a distributed computing system. IEEE Trans. Comput. 31, 48–59 (1982)

    Article  Google Scholar 

  6. Sinha, P.: Distributed Operating Systems Concepts and Design. Prentice-Hall of India Private Limited (2008)

    Google Scholar 

  7. Daymude, J., Gmyr, R., Richa, A., Strothmann, T.: Improved leader election for self-organizing programmable matter. Distrib. Parallel Cluster Comput. 1–11 (2017)

    Google Scholar 

  8. Gmez-Calzado, C., Lafuente, A., Larrea, M., Raynal, M.: Fault-tolerant leader election in mobile dynamic distributed systems. In: IEEE 19th Pacific Rim International Symposium on Dependable Computing, pp. 78–87 (2013)

    Google Scholar 

  9. Rafailescu, M.: Fault tolerant leader election in distributed systems. Int. J. Comput. Sci. Inf. Technol. 9, 13–20 (2017)

    Google Scholar 

  10. Sidik, B., Puzis, R., Zilberman, P., Elovici, Y.: PALE: partially asynchronous agile leader election, distributed computing. IEEE, pp. 1–13 (2018)

    Google Scholar 

  11. Manas, Y., Namratha, D., Mounika, Y.: A comprehensive survey on real time application of paxos algorithm. Int. J. Comput. Netw. Wirel. Commun. (IJCNWC) 8, 60–65 (2018)

    Google Scholar 

  12. Casteights, A., Metivier, Y., Robson, J.M., Zemmari, A.: Deterministic leader election takes \((D + Logn)\) bit rounds. DISC 3, 1–18 (2017)

    Google Scholar 

  13. Blin, L., Tixeuil, S.: Compact deterministic self-stabilizing leader election on a ring: the exponential advantage of being talkative. Distrib. Comput. 4, 1–42 (2017)

    MATH  Google Scholar 

  14. Derhab, A., Badache, N.: A self-stabilizing leader election algorithm in highly dynamic ad hoc mobile networks. IEEE Trans. Parallel Distrib. Syst. 19, 926–939 (2008)

    Article  Google Scholar 

  15. Refai, M., Alkheder, K., Aloqaily, I.: Leader election algorithm in honeycomb torus network. J. Eng. Technol. 5, 72–92 (2016)

    Google Scholar 

  16. Leszek G., Grzegorz, S.: Fast space optimal leader election in population protocols. In: SODA 2018 Proceedings, pp. 2653–2667 (2018)

    Google Scholar 

  17. Kola, G., Kosar, T., Livny, M.: Faults in large distributed systems and what we can do about them. In: European Conference on Parallel Processing, pp. 1–10 (2009)

    Google Scholar 

  18. Mostfaoui, A., Moumen, H., Raynal, M.: Randomized K-set agreement in crash-prone and byzantine asynchronous systems. Elsevier B.V., pp. 1–18 (2017)

    Google Scholar 

  19. Fernndez-Campusano, C., Larrea, M., Cortias, R., Raynal, M.: A distributed leader election algorithm in crash-recovery and omissive systems. Inf. Process. Lett. 100–104 (2017)

    Google Scholar 

  20. Supase, S., Ingle, R.: Performance analysis of sponsor selection algorithms in group key agreement. IJCA 5, 1–6 (2011). Special Issue on Network Security and Cryptography NSC

    Google Scholar 

  21. Ingle, R., Shivkumar, G.: Tunable group key agreement. In: 32nd IEEE Conference on Local Computer Networks, pp. 1017–1024 (2017)

    Google Scholar 

  22. David, D., David, S.: Stable leader election in population protocols requires linear time. Distrib. Comput. 31, 257–271 (2018)

    Article  MathSciNet  Google Scholar 

  23. Jackson, S.: Models of leader election and their applications. Doctoral Dissertation, MISSOURI University of Science and Technology, Missouri, pp. 1–111 (2016)

    Google Scholar 

  24. Vasudevan, S., DeCleene, B., Kurose, J., Towsley, D.: Secure leader election in wireless ad hoc network. Umass Computer Science Technical Report, UM-CS-2001-050, pp. 1–50 (2001)

    Google Scholar 

  25. Tel, G.: Introduction to Distributed Algorithms. Cambridge Publication (2010)

    Google Scholar 

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Correspondence to Shital Supase .

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Supase, S., Ingle, R. (2020). Election-Quorum-Based Coordinator Election Algorithm for Distributed Systems. In: Iyer, B., Deshpande, P., Sharma, S., Shiurkar, U. (eds) Computing in Engineering and Technology. Advances in Intelligent Systems and Computing, vol 1025. Springer, Singapore. https://doi.org/10.1007/978-981-32-9515-5_12

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