Abstract

Cloud computing is a model to provide pool of services on demand which is shared among the consumers and metered. Cloud deployment should support efficient mechanism to publish its services in a right method such that the end users identify them. Services has to be discovered according to user's requirement dynamically. The proposed work discusses about introducing semantics in the cloud services description, such that it projects itself apart from other providers and capably handle the commercial demand for their services. The semantics are introduced at the service catalog level and the CSP publish their list of services in the form of RDF, whose semantics are defined in a provider specific ontology. The system was evaluated with keyword & frequency matching discovery and proved to be efficient with semantic discovery over RDF data.

Cloud Computing Environment, the data presides over a set of networked resources and these data centers may be located in any part of the world and access of the data provided through Internet. Cloud computing facilitates computing assets on demand by the use of a service provider. In the Current Scenario, Security and privacy challenges are facing in this cloud environment. We implement our scheme and show that it is both efficient and flexible in dealing with access control for outsourced data in cloud computing with comprehensive experiments using the technique Hierarchical Attribute Based Encryption to protect data of the users and analyze its performance.