An Analytical Comparison of Rough Set Theory-based Grid Resource Matching Algorithms

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Provided by: World of Computer Science and Information Technology
Topic: Hardware
Format: PDF
Grid environment is an infrastructure in which many heterogeneous resources participate in solving large scale and high computational problems on the internet. Heterogeneity and large number of resources makes resource matching an important issue in the field of grid networks. Recently, rough set theory has been widely considered for efficient resource matching in the literature. In this paper, the authors analyze and compare three state-of-the-art rough set-based resource matching methods: ROSSE, DRSRD and CRSRD. These methods are evaluated from the aspects of accuracy and time complexity.
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