• DocumentCode
    3148511
  • Title

    Min-max checkpoint placement under incomplete failure information

  • Author

    Ozaki, Tatsuya ; Dohi, Tadashi ; Okamura, Hiroyuki ; Kaio, Naoto

  • Author_Institution
    Dept. of Inf. Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
  • fYear
    2004
  • fDate
    28 June-1 July 2004
  • Firstpage
    721
  • Lastpage
    730
  • Abstract
    In this paper we consider two kinds of sequential checkpoint placement problems with infinite/finite time horizon. For these problems, we apply the approximation methods based on the variational principle and develop the computation algorithms to derive the optimal checkpoint sequence approximately. Next, we focus on the situation where the knowledge on system failure is incomplete, i.e. the system failure time distribution is unknown. We develop the so-called min-max checkpoint placement methods to determine the optimal checkpoint sequence under the uncertain circumstance in terms of the system failure time distribution. In numerical examples, we investigate quantitatively the min-max checkpoint placement methods, and refer to their potential applicability in practice.
  • Keywords
    approximation theory; checkpointing; computational complexity; minimax techniques; approximation methods; incomplete failure information; min-max checkpoint placement; sequential checkpoint placement; system failure time distribution; Approximation algorithms; Approximation methods; Availability; Checkpointing; Cultural differences; Environmental economics; Fault tolerant systems; File systems; Informatics; Preventive maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems and Networks, 2004 International Conference on
  • Print_ISBN
    0-7695-2052-9
  • Type

    conf

  • DOI
    10.1109/DSN.2004.1311943
  • Filename
    1311943