DocumentCode :
2344626
Title :
Research on Multi-QoS On-line Scheduling Based on Fuzzy Theory in the Grid
Author :
Xu, Jing ; Yang, Shoubao ; Wu, Bin ; Shi, Lili
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2009
fDate :
21-22 Aug. 2009
Firstpage :
88
Lastpage :
92
Abstract :
In the background of widely use of grid applications, users would no longer be satisfied with the current grid infrastructure services of ¿do my best¿, and hope the grid system is able to provide those services which can guarantee quality. Furthermore, as the expansion of user group, the service should be much easier to use and correspond with the applications´ particular requirements. Users´ QoS (Quality of Service) requirements are of subjective, fuzzy and incompletely considering, so aiming at these problems this paper proposes a method named FuzzyQoS. It considers users´ multi-QoS requirements using fuzzy decision-making theory based on their preferences in online scheduling. This method not only normalizes the multi-QoS requirements which have the features of subjectivity and fuzziness, but also highlights the QoS requirements of user preferences. It is shown that, with the same system makespan, the degree of user satisfaction is close to other multi-QoS methods and significantly improved comparing with one-dimensional QoS scheduling method. What is the most important, this method does not require users to be sufficiently professional. It is simple, effective and sensitive to the users´ preferences.
Keywords :
fuzzy set theory; grid computing; quality of service; fuzzy theory; grid applications; multi-QoS on-line scheduling; Application software; Computer science; Decision making; Delay; Fuzzy sets; Fuzzy systems; Grid computing; Processor scheduling; Quality of service; Scheduling algorithm; fuzzy computing; grid; multi-QoS; on-line secduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ChinaGrid Annual Conference, 2009. ChinaGrid '09. Fourth
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-0-7695-3818-1
Type :
conf
DOI :
10.1109/ChinaGrid.2009.44
Filename :
5328318
Link To Document :
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