Abstract
Given the dynamic nature of grid resources, adaptation is required to sustain a predictable level of application performance. A prerequisite of adaptation is the recognition of changing conditions. In this paper we introduce an application signature model and performance contracts to specify expected grid application behavior, and discuss our monitoring infrastructure that detects when actual behavior does not meet expectations. Experimental results are given for several scenarios.
Cite
CITATION STYLE
Vraalsen, F., Aydt, R. A., Mendes, C. L., & Reed, D. A. (2001). Performance contracts: Predicting and monitoring grid application behavior. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2242, pp. 154–165). Springer Verlag. https://doi.org/10.1007/3-540-45644-9_15
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