Abstract
In this paper, we propose and evaluate GrAMoS, a low-overhead WS-Agreement monitoring service that runs on Globus 4 and is integrated to JSS. To monitor resources and detect agreement violations, GrAMoS uses the stratified random sampling technique and proposes flexible agreement violation actions. The experimental results collected with a prototype of GrAMoS which monitored CPU reservation WS-Agreements show that the overhead incurred is lower than 2.8%, for grid tasks that take longer than 55s. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Scorsatto, G., & De Melo, A. C. M. A. (2008). GrAMoS: A flexible service for WS-agreement monitoring in grid environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5168 LNCS, pp. 534–543). https://doi.org/10.1007/978-3-540-85451-7_57
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