一种基于语义的分布式云服务发现方法

A semantic decentralized cloud service discovery approach

随着云服务的迅猛发展,传统集中式注册的云发现技术容易出现单点失效和性能瓶颈问题。因此,提出了一种基于语义的分布式云服务发现方法。该方法采用多层云本体的方式表示云服务,把服务描述映射到云本体结构中,服务描述中的对等点根据它们的语义相似度组成集群。同时,在具有高相似度的节点之间建立语义边,从而使查询只需在相关的节点中进行,以提高发现效率。实验结果表明:本文提出的方法能够提高云服务发现效率和降低查询时间。

With the rapid development of the cloud services conventional service discovery techniques using centralized registries stumble upon performance bottleneck and single point of failures. To address these issues, this paper proposes a semantic decentralized service discovery approach. This paper also introduces a multi-layered cloud ontology which closes the gap to represent cloud services in a standardized way. Here, service descriptions are mapped to a well-structured cloud ontology, which captures vital elements in different service description approaches. Peers are organized into clusters based on the semantic similarity of the service descriptions. To bolster the service discovery efficacy, semantic links are established between peers having higher similarity so that query forwarding is done only to relevant peers. Simulation results show that the proposed approach effectively enhances the query success rate and drops of the execution time.