Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments

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dc.contributor.author Liu, Hongbo
dc.contributor.author Abraham, Ajith
dc.contributor.author Snášel, Václav
dc.contributor.author McLoone, Seán
dc.date.accessioned 2012-05-11T11:34:22Z
dc.date.available 2012-05-11T11:34:22Z
dc.date.issued 2012
dc.identifier.citation Information sciences. 2012, vol. 192, p. 228-243. cs
dc.identifier.issn 0020-0255
dc.identifier.uri http://hdl.handle.net/10084/90437
dc.description.abstract The scheduling problem in distributed data-intensive computing environments has become an active research topic due to the tremendous growth in grid and cloud computing environments. As an innovative distributed intelligent paradigm, swarm intelligence provides a novel approach to solving these potentially intractable problems. In this paper, we formulate the scheduling problem for work-flow applications with security constraints in distributed data-intensive computing environments and present a novel security constraint model. Several meta-heuristic adaptations to the particle swarm optimization algorithm are introduced to deal with the formulation of efficient schedules. A variable neighborhood particle swarm optimization algorithm is compared with a multi-start particle swarm optimization and multi-start genetic algorithm. Experimental results illustrate that population based meta-heuristics approaches usually provide a good balance between global exploration and local exploitation and their feasibility and effectiveness for scheduling work-flow applications. cs
dc.language.iso en cs
dc.publisher Elsevier cs
dc.relation.ispartofseries Information sciences cs
dc.relation.uri http://dx.doi.org/10.1016/j.ins.2011.12.032 cs
dc.subject swarm intelligence cs
dc.subject particle swarm cs
dc.subject scheduling problem cs
dc.subject work-flow cs
dc.subject security constraints cs
dc.subject distributed data-intensive computing environments cs
dc.title Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments cs
dc.type article cs
dc.identifier.location Není ve fondu ÚK cs
dc.identifier.doi 10.1016/j.ins.2011.12.032
dc.type.status Peer-reviewed cs
dc.description.source Web of Science cs
dc.description.volume 192 cs
dc.description.lastpage 243 cs
dc.description.firstpage 228 cs
dc.identifier.wos 000302511900017

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