The use of the ABC algorithm reduces energy consumption and maintain the service-level agreement when migrating virtual machines in the cloud processing

In order to reduce energy consumption in data centers for re- virtual machines when migrating and reach the optimal response is used .Increased energy consumption due to the large number of data centers in resources, this important issue as a question of cloud computing comes to the account. Resource management process, the process is very complicated and a lot more research has been done in this area so that all its dimensions are known and the ability to correctly use more resources to create clouds. Topics include resource management, such as the process of allocation of resources, the timing and balance the load, reduce the energy consumption CloudSim simulation results show the bee colony algorithm in artificial immune genetic algorithm compared, and Particle Swarm causes reduces energy consumption in data centers will be a cloudy. In the case of different data for the average consumer to energy, energy algorithm for honey bee colony algorithm against the artificial immune algorithm to 84.81, against 91.14 Particle Swarm 88.84, body and genetics 93.92.In comparison, the average number of host parameters off time before the blackout, the average run-time host and the amount of the violation of the agreement The service level in bee colony algorithm is significantly improved.

Keywords:

Reduce energy consumption , the migration of virtual machines , data centers , SLA , the ABC algorithm