基于综合信任度的云计算Pareto最优服务选择

发布时间：2018-05-12 12:05

本文选题：云计算 + 服务选择　；参考：《计算机测量与控制》2014年03期

【摘要】：为了实现云计算环境下服务质量和可靠性高的服务选择,提出了一种基于虚拟域信任值和Pareto最优解的云计算服务选择方法;首先,建立了云计算服务选择模型,然后通过域代理和管理代理协查获得能满足服务请求者基本功能的服务列表,通过相似度矩阵进行聚类,并根据服务请求者个性偏好选择与其最匹配的分类作为候选服务集,在此基础上,计算各服务的综合信任度得到信任服务集,将信任服务集中的Pareto最优解作为最终的服务提供者;最后,定义了具体的基于综合信任度的云计算服务选择算法;采用CloudSim环境进行仿真,结果表明文中方法能高效地实现云计算环境下的服务选择,且与其它方法比较,具有较高的可靠性和较低的计算开销,具有较大的优越性。
[Abstract]:In order to realize service selection with high QoS and reliability in cloud computing environment, a cloud computing service selection method based on virtual domain trust value and Pareto optimal solution is proposed. Firstly, a cloud computing service selection model is established. Then, through domain agent and management agent cocheck, the service list which can satisfy the basic function of service requester is obtained, and the clustering is carried out by similarity matrix, and according to the personality preference of service requestor, the most matching classification is selected as the candidate service set. On this basis, the trust service set is obtained by computing the comprehensive trust degree of each service, and the Pareto optimal solution of the trust service set is regarded as the final service provider. Finally, the specific cloud computing service selection algorithm based on the comprehensive trust degree is defined. The simulation results in CloudSim environment show that the proposed method can efficiently realize the service selection in cloud computing environment, and compared with other methods, it has higher reliability and lower computing overhead, and has more advantages.
【作者单位】：辽宁行政学院信息技术系;
【分类号】：TP393.09

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