[1]张妍琰,姚远,张娜.一种基于简谐振动的云资源分配方法[J].深圳大学学报理工版,2017,34(No.6(551-660)):618-624.
 Zhang Yanyan,Yao Yuan,and Zhang Na.Resource allocation based on harmonic vibration in cloud environments[J].Journal of Shenzhen University Science and Engineering,2017,34(No.6(551-660)):618-624.
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一种基于简谐振动的云资源分配方法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第34卷
期数:
2017年No.6(551-660)
页码:
618-624
栏目:
电子与信息科学
出版日期:
2017-11-30

文章信息/Info

Title:
Resource allocation based on harmonic vibration in cloud environments
作者:
张妍琰姚远张娜
河南城建学院计算机科学与数据科学学院 河南平顶山 467036
Author(s):
Zhang Yanyan Yao Yuan and Zhang Na
School of Computer and Data Science,HenanUniversityof Urban Construction, Pingdingshan467036,Henan Province, P. R. China
关键词:
云计算简谐振动资源划分能级满意度服务质量最优解
Keywords:
cloud computing harmonic vibration resource division energy level satisfaction quality of service optimal solution
摘要:
为优化云服务系统的资源分配,提高不同资源类型的服务质量,提出一种基于简谐振动的云资源分配模型,设计一种求解模型的迭代算法.根据谐振子运动特性进行能级划分,加强对邻域内最优解的精细搜索,降低云资源被局部分配的概率,再依据能级差构造解空间,使用简谐系统能量转换规律自适应地调整解向量的搜索步长.通过实验验证分配模型的求解算法以及解的质量,与分支定界法和遗传算法相比,在较大规模问题上本算法执行效率更高且资源分配的成本更低.
Abstract:
To optimize the cloud service system of the allocation of resources, and to improve the quality of different resource types of services. This paper proposed a cloud resources allocation model based on harmonic vibration, and a iterative algorithm is also designed to solve the model. First of all, according to the harmonic oscillator movement characteristics to division of energy level, to strengthen the search of the optimal solution of neighborhood, to reduce the probability that cloud resources are local distribution. Second, the solution space is organized based on the energy level difference. By harmonic system of energy conversion rule adaptively adjust the solution vector of search step length. Experiments validate the proposed algorithm of solving allocation model and the quality of the solution, compared with the branch and bound method and genetic algorithm, this algorithm in large-scale problems to perform more efficient and lower cost of resource allocation.

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更新日期/Last Update: 2017-10-10