A progressive multi-layer resource reconfiguration framework for time-shared grid systems

Po Cheng Chen; Jyh Biau Chang; Tyng Yeu Liang; Ce Kuen Shieh

doi:10.1016/j.future.2009.01.002

A progressive multi-layer resource reconfiguration framework for time-shared grid systems

Po Cheng Chen, Jyh Biau Chang, Tyng Yeu Liang, Ce Kuen Shieh

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Grid resources are non-dedicated, and thus grid users are forced to compete with resource owners for idle CPU cycles. As a result, the turnaround times of both the grid jobs and the owners' jobs are invariably delayed. To resolve this problem, the current study proposes a progressive multi-layer resource reconfiguration framework, designated as PMR-G, in which intra- and inter-site reconfiguration strategies are employed to adapt grid users' jobs dynamically to changes in the available CPU resources at each node. The experimental results show that PMR-G enables the idle CPU cycles of a resource to be fully exploited by grid users with minimum interference to the resource owner's jobs.

Original language	English
Pages (from-to)	662-673
Number of pages	12
Journal	Future Generation Computer Systems
Volume	25
Issue number	6
DOIs	https://doi.org/10.1016/j.future.2009.01.002
Publication status	Published - 2009 Jun 1

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Computer Networks and Communications

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10.1016/j.future.2009.01.002

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abstract = "Grid resources are non-dedicated, and thus grid users are forced to compete with resource owners for idle CPU cycles. As a result, the turnaround times of both the grid jobs and the owners' jobs are invariably delayed. To resolve this problem, the current study proposes a progressive multi-layer resource reconfiguration framework, designated as PMR-G, in which intra- and inter-site reconfiguration strategies are employed to adapt grid users' jobs dynamically to changes in the available CPU resources at each node. The experimental results show that PMR-G enables the idle CPU cycles of a resource to be fully exploited by grid users with minimum interference to the resource owner's jobs.",

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