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Fault Detection of Process Replicas on Reliable Servers

  • Hazuki IshiiEmail author
  • Ryuji Oma
  • Shigenari Nakamura
  • Tomoya Enokido
  • Makoto Takizawa
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1036)

Abstract

In order to make a system tolerant of faults, an application process is replicated on multiple servers. According to the advances of hardware and architecture technologies, each server can be considered to be free of fault, i.e. always proper. On the other hand, replicas of application processes easily suffer from faults, e.g. due to security attacks like virus and hacking. Even if a replica sends a proper reply, the replica may do faulty computation. It takes a longer or shorter time and a server to perform a faulty replica consumes more or smaller electric energy to perform a faulty replica. Such a faulty replica is referred to as implicitly faulty replica. In this paper, we discuss how to detect implicitly faulty replicas by using the power consumption and computation models of a server in addition to checking replies in a homogeneous cluster.

Keywords

Process faults Implicitly faulty replica Power consumption model Computation model Fault detection 

References

  1. 1.
    Intel Xeon processor 5600 series: The next generation of intelligent server processors, white paper (2010). http://www.intel.com/content/www/us/en/processors/xeon/xeon-5600-brief.html
  2. 2.
    Job scheduling algorithms in linux virtual server (2010). http://www.linuxvirtualserver.org/docs/scheduling.html
  3. 3.
    Linux operating systems. https://ja.wikipedia.org/wiki/Linux
  4. 4.
    Bernstein, P.A., Goodman, N.: The failure and recovery problem for replicated databases. In: Proceedings of the 2nd ACM Symposium on Principles of Distributed Computing, pp. 114–122 (1998)Google Scholar
  5. 5.
    Defago, X., Schiper, A., Sergent, N.: Semi-passive replication. In: Proceeding of IEEE the 17th Symposium on Reliable Distributed Systems, pp. 43–50 (1998)Google Scholar
  6. 6.
    Denning, D.E.R.: Cryptography and Data Security. Addison Wesley, Boston (1982)zbMATHGoogle Scholar
  7. 7.
    Deplanche, A.M., Theaudiere, P.Y., Trinquet, Y.: Implementing a semi-active replication strategy in chorus/classix, a distributed real-time executive. In: Proceeding of IEEE the 18th Symposium on Reliable Distributed Systems, pp. 90–101 (1999)Google Scholar
  8. 8.
    Duolikun, D., Aikebaier, A., Enokido, T., Takizawa, M.: Energy-aware passive replication of processes. Int. J. Mob. Multimed. 9(1,2), 53–65 (2013)Google Scholar
  9. 9.
    Duolikun, D., Enokido, T., Takizawa, M.: Dynamic migration of virtual machines to reduce energy consumption in a cluster. Int. J. Grid Util. Comput. 9(4), 357–366 (2018)CrossRefGoogle Scholar
  10. 10.
    Duolikun, D., Kataoka, H., Enokido, T., Takizawa, M.: Simple algorithms for selecting an energy-efficient server in a cluster of servers. Int. J. Commun. Netw. Distrib. Syst. 21(1), 1–25 (2018)CrossRefGoogle Scholar
  11. 11.
    Enokido, T., Aikebaier, A., Takizawa, M.: A model for reducing power consumption in peer-to-peer systems. IEEE Syst. J. 4(2), 221–229 (2010)CrossRefGoogle Scholar
  12. 12.
    Enokido, T., Aikebaier, A., Takizawa, M.: Process allocation algorithms for saving power consumption in peer-to-peer systems. IEEE Trans. Ind. Electron. 58(6), 2097–2105 (2011)CrossRefGoogle Scholar
  13. 13.
    Enokido, T., Ailixier, A., Takizawa, M.: An extended simple power consumption model for selecting a server to perform computation type processes in digital ecosystems. IEEE Trans. Ind. Inform. 10(2), 1627–1636 (2014)CrossRefGoogle Scholar
  14. 14.
    Enokido, T., Takizawa, M.: An integrated power consumption model for distributed systems. IEEE Trans. Ind. Electron. 60(2), 824–836 (2013)CrossRefGoogle Scholar
  15. 15.
    Fischer, M.J., Lynch, N.A., Paterson, M.S.: Impossibility of distributed consensus with one faulty process. In: Proceedings of the Second ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, 21–23 March 1983, Colony Square Hotel, Atlanta, Georgia, USA, pp. 1–7 (1983)Google Scholar
  16. 16.
    Hayashibara, N., Takizawa, M.: Design of the notification system for failure detectors. Int. J. High Perform. Comput. Netw. 6(1), 25–34 (2009)CrossRefGoogle Scholar
  17. 17.
    Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M.: Energy-efficient virtualisation of threads in a server cluster. In: Proceedings of the 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2015), pp. 288–295 (2015)Google Scholar
  18. 18.
    Kataoka, H., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Multi-level power consumption model and energy-aware server selection algorithm. Int. J. Grid Util. Comput. (IJGUC) 8(3), 201–210 (2017)CrossRefGoogle Scholar
  19. 19.
    Kataoka, H., Sawada, A., Duolikun, D., Enokido, T., Takizawa, M.: Energy-aware server selection algorithm in a scalable cluster. In: Proceedings of IEEE the 30th International Conference on Advanced Information Networking and Applications (AINA-2016), pp. 565–572 (2016)Google Scholar
  20. 20.
    Lamport, L., Shostak, R., Pease, M.: The byzantine generals problems. ACM Trans. Program. Lang. Syst. 4(3), 382–401 (1992)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hazuki Ishii
    • 1
    Email author
  • Ryuji Oma
    • 1
  • Shigenari Nakamura
    • 1
  • Tomoya Enokido
    • 2
  • Makoto Takizawa
    • 1
  1. 1.Hosei UniversityTokyoJapan
  2. 2.Rissho UniversityTokyoJapan

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