Design and development of AI powered QOS based architecture for semantic web service discovery in cloud

Abstract

newline In the current era computing ability has been enabled with ubiquity and provided as services over the network Cloud computing offers computing resources as services which can be accessed by the consumers from anywhere and at any time Due to the proliferation of services on the cloud discovery of services that satisfy the requirements of the consumers has been insisted The proposed research work aims at satisfying this objective Services are available in almost all application domains Being a critical domain healthcare requires services that meet the dynamic business approaches of the stakeholders Cloud computing is considered as one of the key enablers that satisfy the on demand nature of such service requirements Matchmaking of consumer s request and the provider s service profile is supported by better service representation mechanisms that in turn aid in efficient discovery of services Service descriptions are provided semantically using ontologies which describe the meaning of concepts and relationships between them in any domain Reasoning is based on the broad domain of Artificial Intelligence in which machines learn through experience When viewed in terms of service discovery the ontological representation can be queried using appropriate reasoning mechanisms Since service provisioning follows Service Oriented Architecture the discovery of services considers agent-orientation as another peer paradigm Due to the varied level services offered by different providers Quality of Service QoS factors that distinguish the functional and non functional features of a service are considered