Joint Energy Optimization on the Server and Network Sides for Geo-Distributed Datacenters

With the rapid development of cloud computing, many cloud service providers have been deploying more and more datacenters to provide better reliability and quality of service. The energy optimization problem has become an emerging concern. The current researches focus on how to either reduce the energy consumption of servers or reduce the consumption of inter-datacenters data transmission. However, energy optimization of joint inter-datacenter and servers has not been explored. In this paper, we first introduced the background to the energy consumption problem of geographically distributed datacenters. Then, based on the Service Level Agreement (SLA), this paper proposes an online control framework to minimize the energy consummation cost. The online control framework can dynamically make decisions by adjusting geographically load balancing, capacity right-sizing, server speed scaling, and flow programming. Finally, the simulation verifies the effectiveness of the proposed framework in cost saving.