CloudOpt: Incremental Optimal Deployment for Dynamic Management of Clouds

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Provided by: Carleton University
Topic: Cloud
Format: PDF
Management of large service centers and clouds requires adaptation to changing conditions and workload, which is usually based on ad hoc strategies. To obtain deployments that are close to the best possible, this paper applies large-scale optimization techniques to minimize energy use or other costs. Constraints force the satisfaction of service-level agreements with many different classes of users, and other constraints such as host memory limits. The CloudOpt approach determines the number of task replicas needed for application scale-out and allocates task replica execution to hosts.
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