Craig Bossie
Abstract
In this paper, we discuss checkpointing issues that should be considered whenever jobs execute in unreliable computing environments. Specifically, we show that if proper check-pointing procedures are not properly implemented, then under certain conditions, job completion time distributions exhibit properties of heavy-tail or power-tail distributions (hereafter referred to as power-tail distributions (PT), which can lead to highly-variable and long completion times.
- P. Fiorini, R. Sheahan, and L. Lipsky, "On Unreliable Computing Systems When Heavy-Tails Appear as a Result of The Recovery Procedure," to appear in ACM Sigmetrics Performance Evaluation Review, 2005. Google Scholar
Digital Library
- M. Greiner, M. Jobmann, and L. Lipsky, "The Importance of Power-Tail Distributions for Modeling Queueing Systems," Operations Research, Vol. 47, No. 2, 1999. Google ScholarDigital Library
- M. Harchol-Balter, Mark Crovella, and Christina Murta, "On Choosing a Task Assignment Policy for a Distributed Server System," Journal of Parallel and Distributed Computing, pp. 204--228, 1999. Google ScholarDigital Library
- W. Leland and T. Ott, "Load-Balancing Heuristics and Process Behavior," in Proceedings of Performance and ACM Sigmetrics, pp. 54--69, 1986. Google ScholarDigital Library
- J. Plank and W. Elwasif, "Experimental Assessment of Workstation Failures and Their Impact on Checkpointing Systems," in proceedings of The 28th International Symposium on Fault-Tolerant Computing, Munich, 1998. Google ScholarDigital Library
Index Terms
- On checkpointing and heavy-tails in unreliable computing environments
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