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QoS-Driven Service Matching Algorithm Based on User Requirements

机译:基于用户需求的QoS驱动服务匹配算法

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Quality of Service (QoS) is an important factor which should be considered in service matching. There are two problems in most existing solutions. Firstly, most QoS models are static model described by determinate values or probability distributions, ignoring the impact of time factor. However, most QoS attributes are time-dependent, such as response time and reliability. Secondly, the service selection criteria of most QoS-driven service matching algorithms are based on service performance, but user requirements and the load of services are not considered. In this paper, we propose a Time-Segmented QoS Model (TSQM) to dynamically model QoS. Based on this model, a Service Matching algorithm based user QoS request and Priority (QPSM) is proposed. The priority of user requests is used to control the load of the services. Simulation results show that the algorithm can achieve a higher response rate and a better effect of load balancing.
机译:服务质量(QoS)是服务匹配中应考虑的重要因素。大多数现有解决方案中存在两个问题。首先,大多数QoS模型是通过确定值或概率分布描述的静态模型,而忽略了时间因素的影响。但是,大多数QoS属性都是​​时间相关的,例如响应时间和可靠性。其次,大多数QoS驱动的服务匹配算法的服务选择标准都是基于服务性能的,但是没有考虑用户需求和服务负载。在本文中,我们提出了一种按时间分段的QoS模型(TSQM)对QoS进行动态建模。基于该模型,提出了一种基于服务质量的用户QoS请求和优先级匹配算法。用户请求的优先级用于控制服务的负载。仿真结果表明,该算法可以达到较高的响应速度和较好的负载均衡效果。

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