A Research of Resource Scheduling Strategy with SLA Restriction for Cloud Computing Based on Pareto Optimality M×N Production Model
Cloud computing can provide services by aggregating, selecting, and sharing of geographically distributed heterogeneous resources, in a fully virtualized manner. Themost important problem in Cloud computing is that the geographic distributed resources owned by different institutions with their different price models, usage policies and changing load. Meanwhile, the availability of resources and the load on them dynamically varies with time. Hence, resource management in Clouds is a complicated task. An economic-based method with service-level agreement (SLA) restriction is presented to allocate Cloud resources, which is based on Pareto optimality theory and realizes the optimal allocation of Cloud resources. This paper describes a Cloud bank model that depends on market mechanism to understand deeply Pareto optimality.
KeywordsCloud computing Pareto Optimal resource scheduling Cloud bank infrastructure SLA
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