DocumentCode
3351520
Title
Faucets: efficient resource allocation on the computational grid
Author
Kale, Laxmikant V. ; Kumar, Sameer ; Potnuru, Mani ; DeSouza, Jayant ; Bandhakavi, Sindhura
Author_Institution
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
fYear
2004
fDate
15-18 Aug. 2004
Firstpage
396
Abstract
The idea of a "computational grid" suggests that high end computational power can be thought of as a utility, similar to electricity or water. Making this metaphor work requires a sophisticated "power distribution" infrastructure. We present the Faucets framework that aims at providing (a) user-friendly compute power distribution across the grid, (b) market-driven selection of compute servers for each job, resulting in effective utilization of resources across the grid, and (c) improved utilization within individual compute servers. Utilization of individual compute servers is improved by the notions of adaptive jobs and smarter job schedulers. Server selection is facilitated by quality-of-service (QoS) contracts for parallel jobs. Market efficiencies are then attained by a bidding and evaluation system that makes the compute servers compete for every job by submitting bids, thus transforming the computational grid into a free market. Job submission and monitoring is simplified by several tools and databases within the Faucets system. We describe the overall architecture of the system. All the essential components of the system have been implemented, which are described In the work. We also discuss ongoing work and future research issues.
Keywords
grid computing; parallel processing; processor scheduling; quality of service; resource allocation; Faucets system; computational grid; parallel job scheduling; quality-of-service contract; resource allocation; resource utilization; server selection; user-friendly computational power distribution; Contracts; Databases; Distributed computing; Grid computing; Monitoring; Power distribution; Processor scheduling; Quality of service; Resource management; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 2004. ICPP 2004. International Conference on
ISSN
0190-3918
Print_ISBN
0-7695-2197-5
Type
conf
DOI
10.1109/ICPP.2004.1327948
Filename
1327948
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