Coherent Energy Utilization in Cloud Environment
Keywords:
Cloud computing, Virtual Machine, PSO, MSFLA, VM Migrations, Energy ConsumptionAbstract
Dynamically allocating resources is one of the most effective ways of saving electrical energy in the cloud Environment. A combination of PSO (particle swarm optimization) and MSFLA (modified shuffled frog leaping algorithm), called PSO-MSFLA, is the proposed hybrid algorithm that can find optimal resource allocation configurations. Reasonable modification of the parameters is tedious in the PSO algorithm and typically takes a lot of time and effort. A self-adaptive structure is therefore proposed to improve the robustness of the PSO, and a new frog leaping rule is proposed to enhance the local exploration of the SFLA in the updated shuffled frog leaping algorithm (MSFLA) to improve the algorithm's efficiency. Using their benefits and avoiding their drawbacks is the primary concept of combining PSO and MSFLA. The proposed algorithm is tested in CloudSim and the simulation results show that the method proposed is very efficient and ensures that the global optimization is accomplished in a minimum time.
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