MULTI-OBJECTIVE CLOUD BROKERING OPTIMIZATION TAKING INTO ACCOUNT UNCERTAINTY AND LOAD PREDICTION

Cloud broker optimization for energy-aware in multi-clouds system is to use a metaheuristic method for this multi-objective optimization problem that focuses on reducing the cost as well as improving the energy efficiency. This broad topic has been motivated by the energy-aware challenge at the level of cloud brokerage service. The cloud broker bases on multi-objectives optimization is characterized by a tightly coupled constraints, a dynamic environment, and changing objectives and priorities. That results in investigating specific aspects of the cloud brokerage service - virtual machine placement problem.