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Providing Fault Tolerance of Cluster Computing Systems Based on Fault-Tolerant Dynamic Computation Planning

In: Digitalization of Society, Economics and Management

Author

Listed:
  • Evgeniy Tourouta

    (Moscow Technical University of Communications and Informatics)

  • Mikhail Gorodnichev

    (Moscow Technical University of Communications and Informatics)

  • Ksenia Polyantseva

    (Moscow Technical University of Communications and Informatics)

  • Marina Moseva

    (Moscow Technical University of Communications and Informatics)

Abstract

A cluster computing system is an array of computing nodes united by a certain communication environment, which, from the user's point of view, is a single computing resource. The nodes of a cluster computing system can be servers, workstations, and personal computers. Such computing systems are used to solve complex and responsible tasks in various spheres of life of modern society and must have high reliability. This paper is devoted to the organization of fault-tolerant functioning of cluster computing systems based on dynamic fault-tolerant computing planning. The proposed approach is considered on the example of a computer system corresponding to the following model. A cluster computing system contains N nodes, i.e., computing modules intended for solving applied problems, and the main computing module intended for organizing the system operation. We believe that all computing modules are identical and are single-processor, operate in multi-program mode and have the same amount of RAM. We know the set W = {Uj, j = 1, …, L} of mutually independent tasks designed to be performed by a given system.

Suggested Citation

  • Evgeniy Tourouta & Mikhail Gorodnichev & Ksenia Polyantseva & Marina Moseva, 2022. "Providing Fault Tolerance of Cluster Computing Systems Based on Fault-Tolerant Dynamic Computation Planning," Lecture Notes in Information Systems and Organization, in: Evgeny Zaramenskikh & Alena Fedorova (ed.), Digitalization of Society, Economics and Management, pages 143-150, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-94252-6_10
    DOI: 10.1007/978-3-030-94252-6_10
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