Authors: Liu Xiaoming; Li Zonghui; Wang Junjie; Xu Xujiang
Addresses: Department of Information Engineering, Jieyang Vocational and Technical College, Jieyang, Guangdong, 522000, China ' Department of Information Engineering, Jieyang Vocational and Technical College, Jieyang, Guangdong, 522000, China ' Web search Department, Baidu Online Network Technology Limited, Beijing, 100193, China ' Guangdong Fang Yu Network Co. Ltd. Jieyang, Guangdong, 522000, China
Abstract: A cloud computing virtual resource leasing algorithm considering about extreme price filtering has been proposed in this paper, which realises optimal selection for handling leasing price for task virtual machine. First, three-function module cloud composed of virtual resource provider, cloud service provider and final user has been adopted to calculate environment and list calculation target for virtual resource leasing profit; second, distribution and task urgency of price has been fully considered. For weakly stationary price sequence, outlier detection method has been adopted to make extreme price filtering. At the same time, weak equilibrium operator has been designed, exponential function has been used to control the overall shape of curve, non-uniform mutation operator has been used to make local operating adjusting, realise effective prediction for price in the future and optimal selection and make optimal selection for handling leasing price of task virtual machine.
Keywords: extreme price; maximisation; filtering algorithm; cloud computing; resource scheduling.
International Journal of Reasoning-based Intelligent Systems, 2017 Vol.9 No.3/4, pp.137 - 143
Received: 11 May 2017
Accepted: 18 May 2017
Published online: 27 Feb 2018 *