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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ming Wu Xian-He Sun Yong Chen |
| Copyright Year | 2006 |
| Description | Author affiliation: Illinois Institute of Technology, USA (Ming Wu) |
| 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 failureminimization scheduling algorithms proposed in this study are practically effective and have a real potential. |
| Sponsorship | IEEE Comput. Soc. Tech. Comm. on Scalable Comput |
| Starting Page | 601 |
| Ending Page | 608 |
| File Size | 356104 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769525857 |
| DOI | 10.1109/CCGRID.2006.82 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-16 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Application software Distributed computing Scheduling algorithm Computational modeling Grid computing Sun Algorithm design and analysis Analytical models Computer science |
| Content Type | Text |
| Resource Type | Article |
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