NDLI: A Hybrid QoS-Based Algorithm for Independent Tasks Scheduling in Grid

Content Provider	IEEE Xplore Digital Library
Author	Yin-Yun Shen Xiao-Ping Li Qian Wang Ying-Chun Yuan
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing (Yin-Yun Shen; Xiao-Ping Li; Qian Wang; Ying-Chun Yuan)
Abstract	According to QoS (quality of service) of computing resources in grid, a 2-tier hybrid algorithm is proposed for independent tasks scheduling with time-cost minimization. QGMM (QoS Guided Min-Min, presented by He Xiao Shan et al., Journal of Computer Science and Technology, 2003) is adopted in the first level to obtain a schedule with optimized completion time. A GA (genetic algorithm) only with mutation operator is used to optimize cost with the same obtained completion time in the second tier. The proposed approach is compared with Min-Min and QGMM, efficient existing heuristics for independent tasks scheduling with completion time minimization. Experimental results show that the proposed approach can get lower cost than the other two with the same completion time as QGMM, which is better than that of Min-Min
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	4511
Ending Page	4515
File Size	220770
Page Count	5
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.259168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scheduling algorithm Processor scheduling Quality of service Grid computing Minimization methods Helium Computer science Genetic algorithms Genetic mutations Cost function GA Grid independent task scheduling Quality of Service (QoS)
Content Type	Text
Resource Type	Article

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