TAILIEUCHUNG - Grid Computing P32

Most, if not all, Computational Grid resource allocation and scheduling research espouses one of two paradigms: centralized omnipotent resource control [1–4] or localized application control [5–8]. The first is not a scalable solution either in terms of execution efficiency (the resource broker or scheduler becomes a bottleneck) or fault resilience (the allocation mechanism is a single point of failure). On the other hand, the second approach can lead to unstable resource assignments as ‘Grid-aware’ applications adapt to compete for resources | 32 Grid resource allocation and control using computational economies Rich Wolski 1 John Brevik 2 James S. Plank 3 and Todd Bryan1 1 University of California Santa Barbara California United States 2 Wheaton College Norton Massachusetts United States 3 University of Tennessee Knoxville Tennessee United States INTRODUCTION Most if not all Computational Grid resource allocation and scheduling research espouses one of two paradigms centralized omnipotent resource control 1-4 or localized application control 5-8 . The first is not a scalable solution either in terms of execution efficiency the resource broker or scheduler becomes a bottleneck or fault resilience the allocation mechanism is a single point of failure . On the other hand the second approach can lead to unstable resource assignments as Grid-aware applications adapt to compete for resources. The complexity of the allocation problem and the dynamically changing performance characteristics of Grid resources due to contention and resource failure are such that automatic scheduling programs are needed to allocate and re-allocate resources. With resource allocation decisions under local control the potential for instability exists Grid Computing - Making the Global Infrastructure a Reality. Edited by F. Berman A. Hey and G. Fox 2003 John Wiley Sons Ltd ISBN 0-470-85319-0 748 RICH WOLSKI ETAL. as competing application schedulers constantly adjust to load fluctuations they themselves induce. As Grid systems are deployed a variety of engineering approaches to Grid resource allocation have been and will continue to be used 1 9-12 . However almost all of them either rely on a centralized information base or offer little assurance of allocation stability. There are two formal approaches to the Grid resource allocation problem however that specifically address questions of efficiency stability and scalability. They are control theory and economics. Control theory is a viable choice since it includes the notion of .

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