Author : Anu V.R. 1
Date of Publication :28th April 2018
Abstract: Load balancing optimization strategies on cloud data centers are active research area in the cloud environment. Through energy efficient load balancing techniques, VMs can be packed into the fewer number of servers and reduce the power dissipation and CO2 footprint. However allocating too many VMs to a physical server can cause interference issues, hotspot and SLA violations. Here we present a simulated annealing load balancing strategy through ant colony optimization to keep a strong tradeoff between these above mentioned issues and provide an energy efficient, SLA guaranteed load balancing algorithm to map VMs effectively between physical servers. Experimental results show that the proposed algorithm simulated annealing through ant colony optimization performs well and achieve better load balancing results as compared with other algorithms.
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