Computation-at-risk: assessing job portfolio management risk on clusters

  title={Computation-at-risk: assessing job portfolio management risk on clusters},
  author={Stephen D. Kleban and Scott H. Clearwater},
  journal={18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.},
Summary form only given. In this paper we introduce the concept of computation-at-risk, CaR, a methodology, procedure, and quantity of computational risk and reward resulting from running a particular portfolio of jobs on a cluster under a specific queue policy. Modeled after value-at-risk, VaR, from the financial community, CaR introduces the new element of computational risk into the management of a computational cluster. Specifically, administrators of clusters and other large-scale… CONTINUE READING
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