Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-69277-5_13
Title: An adaptive co-ordinate based scheduling mechanism for grid resource management with resource availabilities
Authors: Benjamin Khoo, B.T.
Veeravalli, B. 
Keywords: 2-dimensional virtual map
Minimal execution schedule
Multiple resource scheduling
Resource requirement
Issue Date: 2008
Source: Benjamin Khoo, B.T.,Veeravalli, B. (2008). An adaptive co-ordinate based scheduling mechanism for grid resource management with resource availabilities. Studies in Computational Intelligence 146 : 341-360. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-69277-5_13
Abstract: In this chapter, we propose a novel resource-scheduling strategy capable of handling multiple resource requirements for jobs that arrive in a Grid Computing Environment. In our proposed algorithm, referred to as Multi-Resource Scheduling (MRS) algorithm, we take into account both the site capabilities and the resource requirements of jobs. The main objective of the algorithm is to obtain a minimal execution schedule through efficient management of available Grid resources. We introduce the concept of a 2-dimensional virtual map and resource potential using a co-ordinate based system. To further develop this concept, a third dimension was added to include resource availabilities in the Grid environment. Based on the proposed model, rigorous simulation experiments shows that the strategy provides excellent allocation schedules as well as superior avoidance of job failures by at least 55%. The aggregated considerations is shown to render high-performance in the Grid Computing Environment. The strategy is also capable of scaling to address additional requirements and considerations without sacrificing performance. Our experimental results clearly show that MRS outperforms other strategies and we highlight the impact and importance of our strategy. © 2008 Springer-Verlag Berlin Heidelberg.
Source Title: Studies in Computational Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/54980
ISBN: 9783540692607
ISSN: 1860949X
DOI: 10.1007/978-3-540-69277-5_13
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