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In recent days, with the advancement of cloud computing the usage of Web services has increased rapidly. Therefore, discovery of services has become one of the challenging activities nowadays for the service consumers. In this paper we propose a dynamic service discovery methodology based on term vector space model. The proposed mechanism supports the identification of service during its run time in Enterprise Cloud Bus (ECB) systems. We also proposed an algorithm called SDTVS for dynamic service discovery that supports functional aspects of Web service. Further it allows various considerations between the accuracy of discovery results and the efficiency of the service discovery process. Here, the mathematical aspects of SDTVS are also discussed.

Cloud computing refers to a web service model that delivers on demand based services over the network. Agent based Cloud computing technology has gained more importance recently due to the rapid increase in no of clouds and their services. Modeling and Design methodologies for agent based cloud infrastructure has been a challenging domain. In this paper we propose to model the interaction and collaboration of services in an agent based abstraction framework, called Enterprise Cloud Bus (ECB), using UML 2.0. ECB is an abstraction layer of SaaS architecture, and it is modeled using UML 2.0 focusing on service interaction, service collaboration, service discovery, service scheduling and service dispatching.

In recent days number of Enterprise Software Applications is increased rapidly with

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