摘要
针对云计算技术中的资源调度时间长、开销大、不考虑调度安全的问题,在对常见的云环境下工作流任务的资源调度问题进行建模的基础上,提出了一种强安全约束机制下的云计算任务调度方案。该方案按照所用方法的安全强度,再加上相关软件的安全程度,赋予虚拟机不同的安全等级;另一方面,其按照用户的需求等诸多方面,能够赋予操作不同的安全需求等级;最后使用变近邻粒子群算法对该问题进行了求解。在Cloud Sim仿真平台上的实验结果证明,提出的算法与用最大—最小蚁群算法、遗传算法相比,该算法具有很好的可用性和寻优能力。
For the problem of cloud computing technology in resource scheduling for a long time, overhead, it was not considered safety for dispatch, on this basic of modeling the resource scheduling of work flow tasks under common cloud model on environmental issues, this paper proposed a cloud computing scheduling scheme under strong safety restraint mechanism, The program according to the security strength of the method used, together with the degree of safety related software, gave different levels for security virtual machine. On the other hand, many other aspects which according to the user＇ s needs, it could be given a different level of operating security needs. Finally, it used variable neighbor PSO algorithm to solve this problem. Experimental results on the simulation platform CloudSim prove that the algorithm has good usability and optimization capability, compared to max-rain ant colony algorithm, and genetic algorithm.
作者
李志民
赵一丁
李翠霞
Li Zhimin Zhao Yiding Li Cuixia(School of Computer Science, Zhongyuan University of Technology, Zhengzhou 450007, China School of Software Technology, Zhengzhou University, Zhengzhou 450002, China)
出处
《计算机应用研究》
CSCD
北大核心
2016年第12期3812-3816,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(60673174)
河南省教育厅科学技术重点研究项目(16A520103)
关键词
云计算
资源调度
强安全约束机制
安全等级
安全需求
cloud computing
resource scheduling
strong safety restraint
security level
security needs
