A Load Balancing Policy for Distributed Web Service

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dc.contributor.authorEludiora, Safiriyu
dc.contributor.authorAbiona, Olatunde
dc.contributor.authorAderounmu, Ganiyu
dc.contributor.authorOluwatope, Ayodeji
dc.contributor.authorOnime, Clement
dc.contributor.authorKehinde, Lawrence
dc.date.accessioned2023-05-13T17:49:38Z
dc.date.available2023-05-13T17:49:38Z
dc.date.issued2010-01
dc.descriptionInternational Journal of Communications, Network and System Sciences, Vol. 3, p.645-654.en_US
dc.description.abstractThe proliferation of web services; and users appeal for high scalability, availability and reliability of web servers to provide rapid response and high throughput for the Clients’ requests occurring at anytime. Distrib-uted Web Servers (DWSs) provide an effective solution for improving the quality of web services. This pa-per addresses un-regulated jobs/tasks migration among the servers. Considering distributed web services with several servers running, a lot of bandwidth is wasted due to unnecessary job migration. Having consid-ered bandwidth optimization, it is important to develop a policy that will address the bandwidth consumption while loads/tasks are being transferred among the servers. The goal of this work is to regulate this movement to minimize bandwidth consumption. From literatures, little or no attention was given to this problem, mak-ing it difficult to implement some of these policies/schemes in bandwidth scarce environment. Our policy “Cooperative Adaptive Symmetrical Initiated Dynamic/Diffusion (CASID)” was developed using Java De-velopment Environment (JADE) a middle ware service oriented environment which is agent-based. The software was used to simulate events (jobs distribution) on the servers. With no job transfer allowed when all servers are busy, any over loaded server process jobs internally to completion. We achieved this by having two different agents; static cognitive agents and dynamic cognitive agents. The results were compared with the existing schemes. CASID policy outperforms PLB scheme in terms of response time and system throughputen_US
dc.identifier.otherDOI: 10.4236
dc.identifier.urihttps://ir.oauife.edu.ng/123456789/5499
dc.language.isoenen_US
dc.publisherInternational Journal of Communications, Network and System Sciencesen_US
dc.subjectWeb Serviceen_US
dc.subjectLoad Balancingen_US
dc.subjectDistributed Web Serviceen_US
dc.subjectJob Migrationen_US
dc.subjectQuality of Web Serviceen_US
dc.titleA Load Balancing Policy for Distributed Web Serviceen_US
dc.typeJournalen_US
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