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This paper investigates into IaaS service provisioning in hybrid cloud which comprises private and public clouds. It proposes a hybrid cloud framework in order to improve reliability and availability of IaaS services by taking into account alternative services which are available through public clouds. However, provisioning of alternative services in hybrid cloud involves complex processing, intelligent decision making and reliability and consistency issues. In the proposed framework, we develop an agent-based system using cloud ontology in order to identify and rank alternative cloud services which users can acquire in the event of failures or unavailability of desired services. The proposed framework also exploits transactional techniques in order to ensure the reliability and consistency of the service acquisition process. The proposed framework is evaluated through various experiments which show that it improves service availability and reliability in hybrid cloud.

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Abstract. The continuing advances in cloud computing technology, infrastructures, applications, and hybrid cloud have led to provide solutions to challenges in big data and high performance computing applications. The increasing number of cloud service providers offering cloud services with nonuniform descriptions has made it time consuming to find the best match service with the user's requirements.This paper is an effort to speed up the service discovery and selection of IaaS cloud services which is "best-match" to the user requirements. Preliminary experiments provided promising results which demonstrates the viability of the approach.