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Multi-Objective Optimization Model for QoS-Enabled Web Service Selection in Service-Based Systems

机译：基于服务的系统中启用QoS的Web服务选择的多目标优化模型

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摘要

Nowadays, the web service has become the emerging communication technology where the interaction of each user is performed through the World Wide Web. However, the performance of the web service mechanism is degraded due to security flaws that occur throughout the Internet. The user or service requester may not attain the relevant web service for their requirement. To overcome this problem, the newly developed multi-objective based Cuckoo Search (MCS) algorithm is proposed in this article. Initially, the input query model was built by the query keyword that is provided by the service requester. Then, the given query is matched with the database that hosts the web services that relates to input query. Among the various services, the user has to select the appropriate web service using the proposed algorithm. The MCS algorithm is newly designed by combining the Cuckoo Search algorithm and the QoS parameter based multiple objectives. Additionally, the new mathematical model of fitness is evaluated by the multi-objective parameters. Finally, the proposed algorithm exploits the fitness value to select the relevant web service for the user query. The experimental results are validated and performance is analyzed by the parameters of precision, recall, and F-measure. Thus, 86.6% of precision value was obtained by the proposed method, which ensured provision of the appropriate web service.
机译：如今，Web服务已成为新兴的通信技术，其中每个用户的交互都通过万维网执行。但是，由于整个Internet上都存在安全缺陷，因此Web服务机制的性能会降低。用户或服务请求者可能无法获得他们所需的相关Web服务。为了克服这个问题，本文提出了新开发的基于多目标的布谷鸟搜索（MCS）算法。最初，输入查询模型是由服务请求者提供的查询关键字构建的。然后，将给定查询与托管与输入查询相关的Web服务的数据库进行匹配。在各种服务中，用户必须使用建议的算法选择适当的Web服务。通过结合布谷鸟搜索算法和基于QoS参数的多个目标，新设计了MCS算法。此外，通过多目标参数评估了新的适应性数学模型。最后，提出的算法利用适合度值来选择相关的Web服务以供用户查询。实验结果得到了验证，并通过精度，召回率和F量度参数对性能进行了分析。因此，通过所提出的方法获得了86.6％的精度值，从而确保了提供适当的Web服务。

著录项

  • 来源
    《New review of information networking》 |2017年第1期|34-53|共20页
  • 作者

    Pawar Suvarna Sanjay; Yalla Prasanth;

  • 作者单位

    Department of Computer Science and Engineering, Pune University, Sinhgad College of Engineering, Vadgaon (Budruk), Pune, India,Department of Computer Science and Engineering, KL University,Koneru Lakshmaiah College of Engineering, Vijaywada, India;

    Department of Computer Science and Engineering, Pune University, Sinhgad College of Engineering, Vadgaon (Budruk), Pune, India,Department of Computer Science and Engineering, KL University,Koneru Lakshmaiah College of Engineering, Vijaywada, India;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Cuckoo Search algorithm; multiple objectives; Query; service selection; web services;

    机译：布谷鸟搜索算法;多个目标;查询;服务选择;网页服务;

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