Stanford Technology Ventures Program
Cloud computing services are becoming integral part of people's daily life. These services are supported by infrastructure known as Internet Data Center (IDC). As demand for cloud computing services soars, energy consumed by IDCs is skyrocketing. Both academia and industry have paid great attention to energy management of IDCs. This paper studies an important energy management problem - how to minimize energy cost for IDCs in deregulated electricity markets. The authors propose a novel two-stage design and the eco-IDC (Energy Cost Optimization-IDC) algorithm to exploit the temporal diversity of electricity price and dynamically schedule workload to execute on IDC servers through an input queue.