A Joint Optimization Framework for Request Scheduling and Energy Storage Management in a Data Center

This paper addresses the problem of profit maximization for a data center with battery banks deployed at various levels of the power hierarchy. An optimization framework that covers the request dispatch, server resource allocation, and battery charging management is proposed. Instead of controlling the input/output power of the batteries after knowing the power profile of all other components of the data center as in a set of prior work, an optimal management policy is proposed which adjusts the power consumption (or supply) of servers and the battery banks at the same time. A response time dependent revenue model is adopted based on the delay estimation using the generalized processor sharing model. The rate capacity effect and the state of health degradation of the batteries, as well as the conversion and transmission loss in the power delivery network, are considered for the purpose of accurate power modeling and utility cost estimation. It is shown that the problem can be transformed into a series of convex optimization problems and then solved using standard solvers.