Using Model Predictive Control in Data Centers for Dynamic Server Provisioning
نویسندگان
چکیده
The ever-increasing energy consumption of data centers is becoming a crucial problem nowadays. This paper discusses the benefits and challenges of coordinating dynamic server provisioning and thermal dynamics for energy control of data centers. A model predictive control approach, considering the computational and thermal characteristics of a data center and their interactions, together with dynamic server provisioning is used to optimize the energy consumption of the total data center. Quality of service and thermal constraints are enforced in the optimization process. Simulation results demonstrate that the proposed control approach can lead to a significant energy saving for a data center.
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تاریخ انتشار 2014