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
Link To Document :
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