基于极端价格过滤的云计算虚拟资源租赁算法
发布时间：2019-06-19 13:59
【摘要】：为实现云计算服务用户虚拟资源租赁利润最大化,提出一种新的云计算虚拟资源租赁算法。在由虚拟资源供应商、云服务提供商和最终用户组成的三功能模块云计算环境下,给出虚拟资源租赁利润计算目标。考虑价格的分布性和任务紧迫性,利用孤立点检测方法对弱平稳价格序列进行极端价格过滤,同时设计弱平衡算子,通过指数函数控制目标函数曲线的整体形状,采用非均匀变异算子进行局部算子微调,实现未来价格的有效预测以及处理任务虚拟机租金价格的最优化选取。实验结果表明,该算法可有效提高虚拟资源的利用效率和租赁利润,并降低其使用成本。
[Abstract]:In order to maximize the virtual resource lease profit of the cloud computing service users, a new virtual resource leasing algorithm for cloud computing is proposed. In a three-functional module cloud computing environment, which is composed of a virtual resource supplier, a cloud service provider and an end user, a virtual resource lease profit calculation target is given. considering the distribution and the task urgency of the price, the weak stationary price sequence is subjected to extreme price filtering by using an isolated point detection method, a weak balance operator is designed, a non-uniform mutation operator is adopted to perform local operator fine adjustment through the integral shape of the exponential function control target function curve, So as to realize the effective prediction of the future price and the optimization selection of the rent price of the processing task virtual machine. The experimental results show that the proposed algorithm can effectively improve the utilization efficiency and lease profit of the virtual resources, and reduce the use cost.
【作者单位】： 南阳理工学院软件学院;中国科学院软件研究所;
【基金】：河南省高等学校重点科研项目(17A520047)
【分类号】：TP393.0
本文编号：2502396
[Abstract]:In order to maximize the virtual resource lease profit of the cloud computing service users, a new virtual resource leasing algorithm for cloud computing is proposed. In a three-functional module cloud computing environment, which is composed of a virtual resource supplier, a cloud service provider and an end user, a virtual resource lease profit calculation target is given. considering the distribution and the task urgency of the price, the weak stationary price sequence is subjected to extreme price filtering by using an isolated point detection method, a weak balance operator is designed, a non-uniform mutation operator is adopted to perform local operator fine adjustment through the integral shape of the exponential function control target function curve, So as to realize the effective prediction of the future price and the optimization selection of the rent price of the processing task virtual machine. The experimental results show that the proposed algorithm can effectively improve the utilization efficiency and lease profit of the virtual resources, and reduce the use cost.
【作者单位】： 南阳理工学院软件学院;中国科学院软件研究所;
【基金】：河南省高等学校重点科研项目(17A520047)
【分类号】：TP393.0
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，本文编号：2502396
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