2007
DOI: 10.3844/jcssp.2007.186.194
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Task Load Balancing Strategy for Grid Computing

Abstract: Workload and resource management are two essential functions provided at the service level of the Grid software infrastructure. To improve the global throughput of these environments, effective and efficient load balancing algorithms are fundamentally important. Most strategies were developed in mind, assuming homogeneous set of resources linked with homogeneous and fast networks. However for computational Grids we must address main new challenges, like heterogeneity, scalability and adaptability. Our contribu… Show more

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Cited by 121 publications
(111 citation statements)
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“…As explained earlier in [14], every SM collects the information of any PE joining or leaving the grid system and then transmits it to its parent LGM. This means that a processing element only needs a communication when joining or leaving its site.…”
Section: Load Balancementioning
confidence: 99%
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“…As explained earlier in [14], every SM collects the information of any PE joining or leaving the grid system and then transmits it to its parent LGM. This means that a processing element only needs a communication when joining or leaving its site.…”
Section: Load Balancementioning
confidence: 99%
“…In [14], a hierarchical model of load distribution is introduced. It consists of a tree based Grid model together with three load balancing algorithms at various levels of the hierarchical model.…”
Section: Related Workmentioning
confidence: 99%
“…The approach requires a copy of system agents on all the systems so that DLB agent may collect load information from these systems and perform load balancing. Yagoubi and Slimani [35] puts forward a dynamic tree based model to represent grid architecture and proposes Intra-site, Intracluster and Intra-grid load balancing. Nehraet.…”
Section: Related Workmentioning
confidence: 99%
“…As more organizations and users are becoming interested in using grid computing systems in a variety of application domains, security becomes a key issue (Simmons et al, 1991;Stell, 2004;Welch et al, 2003;Yagoubi and Slimani, 2007). Public Key Infrastructure assumes a pre-agreed trust between the service provider and the service consumer.…”
Section: Introductionmentioning
confidence: 99%