Evolutionary Multiobjective Optimization for Green Clouds
As Internet Data Centers (IDCs) have been increasing in scale and complexity, they are currently a significant source of energy consumption and CO2 emission. This paper proposes and evaluates a new framework to operate a federation of IDCs in a "Green" way. The proposed framework, called Green Monster, dynamically moves services (i.e., workload) across IDCs for increasing renewable energy consumption while maintaining their performance. It makes decisions of service migration and placement with an Evolutionary Multi-Objective optimization Algorithm (EMOA) that evolves a set of solution candidates through global and local search processes.