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H. Okamura, Y. Nishimura and T. Dohi, “A Dynamic Checkpointing Scheme Based on Reinforcement Learning,” Proceedings of 2004 Pacific Rim International Symposium on Dependable Computing (PRDC 2004), Tahiti, 3-5 March 2004, pp. 151-158.

has been cited by the following article:

• TITLE: Aperiodic Checkpoint Placement Algorithms—Survey and Comparison

  AUTHORS: Shunsuke Hiroyama, Tadashi Dohi, Hiroyuki Okamura

  KEYWORDS: Checkpoint Placement; Aperiodic Policy; Availability Models; Computation Algorithms; Comparison

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.4A, April 29, 2013

  ABSTRACT: In this article we summarize some aperiodic checkpoint placement algorithms for a software system over infinite and finite operation time horizons, and compare them in terms of computational accuracy. The underlying problem is formulated as the maximization of steady-state system availability and is to determine the optimal aperiodic checkpoint sequence. We present two exact computation algorithms in both forward and backward manners and two approximate ones; constant hazard approximation and fluid approximation, toward this end. In numerical examples with Weibull system failure time distribution, it is shown that the combined algorithm with the fluid approximation can calculate effectively the exact solutions on the optimal aperiodic checkpoint sequence.