TY - JOUR A2 - Riguzzi, Fabrizio AU - Jiang, Jianhua AU - Feng, Yunzhao AU - Parmar, Milan AU - Li, Keqin PY - 2016 DA - 2016/07/25 TI - FP-ABC: Fast and Parallel ABC Based Energy-Efficiency Live VM Allocation Policy in Data Centers SP - 9524379 VL - 2016 AB - 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 Δt. Compared with state-of-the-art ABC based policies, the experimental results show that the proposed algorithm efficiently reduces energy consumption and SLA violation. SN - 1058-9244 UR - https://doi.org/10.1155/2016/9524379 DO - 10.1155/2016/9524379 JF - Scientific Programming PB - Hindawi Publishing Corporation KW - ER -