NDLI: Committee-based evaluation and selection of Grid resources for QoS improvement

Content Provider	IEEE Xplore Digital Library
Author	Zhen Wang Junwei Cao
Copyright Year	2009
Description	Author affiliation: Research Institute of Information Technology, Tsinghua National Laboratory for Information Science and Technolog, Tsinghua University, Beijing 100084, P. R. China (Zhen Wang; Junwei Cao)
Abstract	The grid enables the facility of distributed resource sharing but can provide limited QoS guarantee to grid applications, e.g. in terms of execution time. In this paper, we propose a Committee-based Resource Evaluation and Selection Method (CRESM) to evaluate and select reliable resources for Users, which have higher possibility of finishing tasks in time and provide better QoS. CRESM is composed with a representative layer and a committee layer. The representative layer consists of informed and experienced Users who contribute their individual experiences to judge a particular grid resource. The committee layer aggregates these individual judgments and makes a comprehensive decision based on these aggregated information. All the judgments and the final decision are made fuzzily based on historical statistics of resource evaluation. Experimental results show that CRESM is stable and accurate in different grid environments. CRESM can also defeat collusive deceitful behaviors. Meanwhile, CRESM based resource scheduling can improve QoS support for grid applications.
Starting Page	138
Ending Page	144
File Size	251422
Page Count	7
File Format	PDF
ISBN	9781424451487
DOI	10.1109/GRID.2009.5353078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality of service Resource management Finishing Scheduling algorithm Information technology Laboratories Information science Aggregates Statistical distributions Processor scheduling
Content Type	Text
Resource Type	Article

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