基于量子遗传算法的云服务选择  

Cloud Service Selection based on Quantum Genetic Algorithm

作　　者：周超[1] 潘平[1] 黄亮[1] 

机构地区：[1]贵州大学计算机科学与技术学院,贵州贵阳550025

出　　处：《通信技术》2017年第6期1241-1246,共6页Communications Technology

基　　金：贵州省教育厅自然科学研究项目(黔教合KY字(2015)367号)~~

摘　　要：云服务是一类依托于云计算平台的后信息技术服务的典范。面对动态、多样化的用户需求,如何高效、快速地选择出满足用户服务质量(QoS)的云服务备受关注。分析云服务及其选择问题,提出基于QoS的云服务选择模型,并将量子遗传算法引入云服务选择问题中,利用量子编码和量子操作的特性,实现优化服务选择的计算。通过实验仿真,该算法具有较好的收敛性和较高的效率,能够准确地为用户选择其最佳服务,从而为云服务选择提供了一个新的研究途径。Cloud service is the model of the post information technology service based on cloud computing platform. In the face of various dynamic and diverse demands by the user, how to efficiently and quickly select the cloud service and satisfy QoS（the quality of service） of the users receives much attention. Based on analyze and selection of cloud service and selection, the cloud service selection model based on QoS is proposed, and the quantum genetic algorithm introduced to the problem of cloud service selection. By utilizing the characteristic of quantum encoding and quantum operation, the optimization of service selection computing is finished. The simulation results indicate that the proposed algorithm has good convergence and high efficiency, and can accurately select the best service for the users, thus providing a new research way for cloud service selection.

关 键 词：云服务 服务选择 QOS 量子遗传算法 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]