基于用户实用新型的云服务QoS演化方法

Yan Wang, Jiantao Zhou, Jing Liu, Tenghe Au, Xiaoyu Song
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引用次数: 2

摘要

服务质量(QoS)是当前用户和服务提供商共同关注的焦点。对于服务提供商来说,基于用户偏好找到最优的QoS策略是他们的主要目标之一。然而,由于用户偏好的模糊性和服务环境的复杂性,搜索最优服务策略成为一个难题。本文分析了服务质量对用户满意度的影响,建立了服务质量与用户满意度之间的定量关系。基于这种关系,建立了一种云服务用户实用新型。为了使用户效用最大化,提出了一种基于用户实用新型的QoS进化算法。该算法对传统遗传算法的搜索范围和搜索速度之间的矛盾进行了改进。通过实验可以看出,QoS进化算法对云服务输出的QoS优化策略与目标用户的偏好是一致的,可以有效地增强服务资源的成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A QoS Evolutionary Method of Cloud Service Based on User Utility Model
The quality-of-service (QoS) is a common focus which users and service providers pay close attention to at present. For service providers, it is one of their main targets to find the optimal QoS strategy based on user preferences. However, because of the fuzziness of user preferences and the complexity of service environment, searching an optimal service strategy becomes a difficult problem. In the paper, how the QoS affects a user's satisfaction is analyzed, and then a quantitative relationship between QoS and user satisfaction is built. Based on the relationship, a user utility model of cloud service is established. In order to maximize user utility, a QoS evolutionary algorithm based on user utility model is proposed. In the algorithm, some improvement is designed to balance the contradiction between search scope and search speed in the traditional genetic algorithm. It can be seen through the experiments that the QoS optimization strategy of cloud service output by the QoS evolutionary algorithm is consistent with the target user's preferences, which can effectively enhance the cost effectiveness of service resources.
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