Energy Cost Minimization with Risk Rate Constraint for Internet Data Center in Deregulated Electricity Markets

With the large-scale development of internet data center (IDC), the energy cost is increasing significantly and has attracted a great deal of attention. Moreover, existing scheduling optimization methods for cloud computing applications disregard the security services. In this paper, we propose a long-term energy cost minimization (ECM) algorithm with risk rate constraint for an internet data center in deregulated electricity markets. First, we formulate the stochastic optimization problem taking the temporal diversity of electricity price and risk rate constraint into account. Then, an operation algorithm is designed to solve the problem by Lyapunov optimization framework, which offers provable energy cost and delay guarantees. Extensive evaluation experiments based on the real-life electricity price demonstrate the effectiveness of proposed algorithm.