DocumentCode :
2673735
Title :
Committee-based evaluation and selection of Grid resources for QoS improvement
Author :
Wang, Zhen ; Cao, Junwei
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
13-15 Oct. 2009
Firstpage :
138
Lastpage :
144
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.
Keywords :
decision making; fuzzy logic; grid computing; information resources; quality of service; scheduling; QoS improvement; collusive deceitful behaviors; committee layer; committee-based resource evaluation and selection method; distributed resource sharing; grid environments; grid resources selection; representative layer; resource scheduling; Aggregates; Finishing; Information science; Information technology; Laboratories; Processor scheduling; Quality of service; Resource management; Scheduling algorithm; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grid Computing, 2009 10th IEEE/ACM International Conference on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4244-5148-7
Electronic_ISBN :
978-1-4244-5149-4
Type :
conf
DOI :
10.1109/GRID.2009.5353078
Filename :
5353078
Link To Document :
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