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首页> 外文期刊>International Journal of Distributed Sensor Networks >Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks:
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Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks:

机译：将改进的粒子群优化技术应用于动态服务组合，重点是混合网络下的服务质量评估：

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摘要

Hybrid services use different protocols on various networks, such as WIFI networks, Bluetooth networks, 5G communications systems, and wireless sensor networks. Hybrid service compositions can be varied, representing an effective method of integrating into wireless scenarios context-aware applications that can sense mobility via changes in user location and combining services to support target functions. In this article, improved particle swarm optimization is introduced into the quality service evaluation of dynamic service composition to meet the mobility requirements of hybrid networks. First, this work classifies hybrid services into different task groups to generate candidate sets and then interface matching is used to compare the operations of candidate services with user requirements to select the appropriate services. Second, the service composition is determined by the particle swarm optimization simulation process, which aims to identify an optimal plan based on the calculated value from quality of service. Third, considering a change of service repository, when the quality of a composite service is lower than a predefined threshold, the local greedy algorithm and global reconfiguration method are adopted to dynamically restructure composite services. Finally, a set of experiments is conducted to demonstrate the effectiveness of the proposed method for determining the dynamic service composition, particularly when the scale of hybrid services is large. The method provides a technical reference for engineering practice that will fulfill mobile computing needs.
机译：混合服务在各种网络上使用不同的协议，例如WIFI网络，蓝牙网络，5G通信系统和无线传感器网络。混合服务的组成可以变化，代表了一种有效的方法，可以将上下文感知的应用程序集成到无线场景中，该应用程序可以通过用户位置的变化来感知移动性，并组合服务以支持目标功能。本文将改进的粒子群算法引入动态服务组合的质量服务评估中，以满足混合网络的移动性需求。首先，这项工作将混合服务分为不同的任务组，以生成候选集，然后使用接口匹配将候选服务的操作与用户需求进行比较，以选择合适的服务。其次，服务组合由粒子群优化模拟过程确定，该过程旨在基于服务质量的计算值来确定最佳计划。第三，考虑服务库的变化，当复合服务质量低于预定阈值时，采用局部贪婪算法和全局重配置方法对复合服务进行动态重组。最后，进行了一组实验以证明所提出的方法确定动态服务组合的有效性，特别是在混合服务的规模较大时。该方法为满足移动计算需求的工程实践提供了技术参考。

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