NDLI: Load Balancing in Non-dedicated Grids Using Ant Colony Optimization

Content Provider	IEEE Xplore Digital Library
Author	Yixiong Chen
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci., Chongqing Univ., Chongqing, China (Yixiong Chen)
Abstract	Recently, numerous job scheduling techniques have been proposed for improving the efficiency of resource sharing in heterogeneous computational grids. However, as we have noticed, some scheduling algorithms, especially those working in batch mode, are likely to be suffered from deficiencies when extended to an non-dedicated grid environment, where the consistency degree of underlying computing environment is unpredictable. In this paper, we will present an ACO based load balancing approach to ameliorate the resource allocation in such a grid environment. Our load model derives from some typical non-dedicated computational grids and we not only consider the heterogeneity of grid resources, but also take into account the overhead of job transferring among computing nodes. Compared with other load balancing algorithms in the state of the art, our approach differs in the utilization of job granularity and the way load balancing is carried out. In addition, we have evaluated our approach by conducting simulations. The experimental results show that the proposed approach is efficient in promoting the system performance in terms of makespan and resource usage. The paper work is also conducted in the context of GORBA, a global optimising grid resource broker which is developed by our institute.
Starting Page	279
Ending Page	286
File Size	323897
Page Count	8
File Format	PDF
ISBN	9780769534015
DOI	10.1109/SKG.2008.41
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Ant colony optimization Costs Processor scheduling System performance Grid Load management Grid computing Resource management Scheduling algorithm Load Balance Load modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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