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Eighth Pacific Rim International Symposium on Dependable Computing (PRDC'01)
Fault-Tolerance of Functional Programs Based on the Parallel Graph Reduction
Seoul, Korea
December 17-December 19
ISBN: 0-7695-1414-6
Recently, parallel computing is popularly applied to many systems. Functional programming is suitable for parallel programming because of referential transparency and is applied to symbol processing systems and parallel database systems. Programs of some functional programming can be regarded as graph and are processed in terms of reduction of the corresponding graph. This paper proposes fault tolerance of functional programming based on graph reduction. The proposed methods stores the received graph as a message log and the erroneous task is recovered by using the checkpoint and the computer simulations say that time overhead of the proposed method is small. If checkpoint interval is 30 seconds and the number of tasks is 3, for example, time overhead is less than 10%
Index Terms:
Fault tolerance, functional programming, graph reduction, Referential transparency, message logging
Citation:
Masato Kitakami, Shunji Kubota, Hideo Ito, "Fault-Tolerance of Functional Programs Based on the Parallel Graph Reduction," prdc, pp.319, Eighth Pacific Rim International Symposium on Dependable Computing (PRDC'01), 2001
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