FP-ABC: Fast and Parallel ABC Based Energy-Efficiency Live VM Allocation Policy in Data Centers

Abstract EN

Virtual machine (VM) technology is one of the energy-efficiency approaches to save energy with acceptable quality of service (QoS).

In our previous studies, Artificial Bee Colony (ABC) based VM allocation policy can make a good tradeoff between performance and energy consumption.

However, there are two problems in state-of-the-art ABC based approaches: ( 1 ) how to find global optimized solutions efficiently; ( 2 ) how to minimize the decision time of VM allocation.

To solve these two problems, the idea of simulated annealing is adopted to get a better global optimum, and the idea of gradient descent is applied to accelerate the speed of finding solution space in Δ t .

Compared with state-of-the-art ABC based policies, the experimental results show that the proposed algorithm efficiently reduces energy consumption and SLA violation.