Abstract: International audience; This paper presents an energy management algorithm for a grid-connected datacenter to provide cost-efficient consumption opportunity in a Demand-Response (DR) program. The aim of this study is to schedule controllable loads of the datacenter based on on-peak and off-peak periods of different time-varying electricity prices. The electricity consumption of the datacenter is modeled with two types of workload: batch and service jobs. Service jobs are executed as soon as submitted (as non-controllable) while batch jobs can b...
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Topics: 
Real-time computing