Abstract
Grid computing differs from traditional high performance computing systems in the heterogeneity of the computing nodes and communication links, as well as background workloads that may be present in the computing nodes. This paper studies dynamic resource balanced assignment algorithms to gauge their suitability for solving grid resource sharing problems. The effectiveness of the proposed algorithm is shown for a number of test problems. Experimental results show that the proposed algorithm is superior to other task scheduling algorithms.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Wang, D. (2012). Research on Heterogeneous Resource Sharing and Dynamic Allocation Strategy in Campus Grid. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_111
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DOI: https://doi.org/10.1007/978-3-642-27552-4_111
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27551-7
Online ISBN: 978-3-642-27552-4
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