DOI: 10.5176/978-981-08-5837-7_224
Authors: Jaeyong Kang, Kwang Mong Sim
Abstract:
Cloud Computing has become another buzzword after semantic web. However, there are no specialized search engines for the users who want to find Cloud service. Hence, this paper presents a Cloudle which is an agent-base service search engine that consults a Cloud ontology for reasoning about the relations of Cloud services. Cloud ontology contains a set of Cloud concepts and interrelationships among these concepts. For determining the similarity between two concepts with Cloud ontology, we devised three kinds of reasoning methods,
1) similarity reasoning which determines the similarity between two concepts by counting common reachable nodes,
2) equivalent reasoning which determines the similarity between two sibling concepts based on those label values, and
3) numerical reasoning which calculates the similarity between two numeric concepts based on those label values. With empirical results of these three reasoning methods with Cloud ontology, this paper shows that Cloudle is able to provide efficient search mechanism to find appropriate Cloud services.
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