Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7638
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dc.contributor.authorWong, Yuk-Yinen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorLee, Kin-Hongen_US
dc.date.accessioned2023-03-28T05:33:28Z-
dc.date.available2023-03-28T05:33:28Z-
dc.date.issued2003-
dc.identifier.citationConcurrency and Computation: Practice and Experience, 2003, vol. 15 (1), pp. 55 - 78en_US
dc.identifier.issn15320626-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7638-
dc.description.abstractThis paper presents a stochastic dynamic load balancing algorithm for Internet computing, which is a new type of distributed computing involving heterogeneous workstations from different organizations on the Internet. To realize the practical environment, we assume the system to be comprised of heterogeneous, untrusted and non-dedicated workstations connected by a non-dedicated network. Our algorithm uses the product of the average processing time and the queue length of system jobs as the load index. Dynamic communication delay is included in the execution cost calculation. The transfer policy and the location policy are combined in a stochastic algorithm. State information exchange is done via information feedback and mutual updating. Simulations demonstrate that our algorithm outperforms conventional approaches over a wide range of system parameters. These results are reconfirmed by empirical experiments after we have implemented the algorithms on the Distributed Java Machine global virtual machine. Copyright © 2003 John Wiley & Sons, Ltden_US
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Ltden_US
dc.relation.ispartofConcurrency and Computation: Practice and Experienceen_US
dc.titleA stochastic load balancing algorithm for i-Computingen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1002/cpe.708-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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