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
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