标题：The Scheduling Strategy of Virtual Machine Migration Based on the Gray Forecasting Model
作者：He Hong; Cao Boyan
作者机构：[He Hong; Cao Boyan] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.
会议名称：10th International Frontiers of Algorithmics Workshop (FAW)
会议日期：JUN 30-JUL 02, 2016
来源：Frontiers in Algorithmics, FAW 2016
关键词：Virtual machine; Online migration; Gray forecasting model;; Dual-threshold; Positioning probability
摘要：In stage of Infrastructures Providers (IP) provides cloud service for Service Providers (SP), in order to maximize the profits of IP, saving energy and reducing consumption is taken into consideration. As a new application mode of virtualization technology, virtual machine migration is of great practical meaning. We present a forecast model based on gray and credibility ant colony scheduling algorithm for virtual machine migration scheduling policy. The model can estimate the future utilization of a period of virtual machine CPU node. In determining whether the virtual machine should be moved out, the dual-threshold mechanism is set up to avoid frequent migration shocks caused by the transient oscillation of CPU resource utilization. Positioning probability is defined to improve the convergence speed when target node is selected. The experiments show that the algorithm can effectively avoid the frequent migration of virtual machine, which is a result of the shock caused by the change in CPU utilization, reduce energy consumption, and improve IP gains.