QoS oriented resource reservation in shared environments

Ming Wu, Xian He Sun, Yong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Scopus citations

Abstract

Resource sharing across different computers and organizations makes it possible to support diverse, dynamic changing resource requirements of distributed applications. Reservation mechanisms have been used to reserve resources for external applications through service level agreements between local resource organizations and external applications. However, the effects of resource reservation on local applications, and therefore the trustfulness of the successful fulfillment of the service agreement, have been ignored. In this paper, we investigate the effect of resource reservation on external applications as well as local jobs, and design efficient task scheduling algorithms considering the tolerance of local jobs to resource reservation. Extensive simulations and implementation experiments have been carried out to confirm our analysis results. Experimental results show that the relative slowdown metric and the failure-minimization scheduling algorithms proposed in this study are practically effective and have a real potential.

Original languageEnglish
Title of host publicationSixth IEEE International Symposium on Cluster Computing and the Grid
Subtitle of host publicationSpanning the World and Beyond, 2006. CCGRID 06
Pages601-608
Number of pages8
DOIs
StatePublished - 2006
Event6th IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06 - , Singapore
Duration: May 16 2006May 19 2006

Publication series

NameSixth IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06

Conference

Conference6th IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06
CountrySingapore
Period05/16/0605/19/06

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    Wu, M., Sun, X. H., & Chen, Y. (2006). QoS oriented resource reservation in shared environments. In Sixth IEEE International Symposium on Cluster Computing and the Grid: Spanning the World and Beyond, 2006. CCGRID 06 (pp. 601-608). [1630876] (Sixth IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06). https://doi.org/10.1109/CCGRID.2006.82