Over the last decades, web services are used for performing specific tasks demanded by users. The most important task of service’s classification system is to match an anonymous input service with the stored pre-classified web services. The most challenging issue is that web services are currently organized and classified according to syntax while the context of the requested service is ignored. Due to this motivation, Cloud-based Classification Methodology is proposed as it presents a new methodology based on semantic web service’s classification. Furthermore, cloud computing is used for not only storing but also allocating the high scale of web services with both high availability and accessibility. Fog technology is employed to reduce the latency and to speed up response time. The experimental results using the suggested methodology show a better performance of the proposed system regarding both precision and accuracy in comparison with most of the methods discussed in the literature of the current study.

在过去的几十年中，Web服务用于执行用户要求的特定任务。服务分类系统最重要的任务是将匿名输入服务与存储的预分类Web服务进行匹配。最具挑战性的问题是，当前正在根据语法对Web服务进行组织和分类，而忽略所请求服务的上下文。由于这种动机，提出了基于云的分类方法，因为它提出了一种基于语义Web服务分类的新方法。此外，云计算不仅用于存储而且还分配具有高可用性和可访问性的大规模Web服务。雾技术用于减少等待时间并加快响应时间。