An automated semantically enabled fuzzy based SLA in cloud computing environment using multi-agent system

Abstract

In order to make reservations for cloud services, consumers and providers need to work on Service Level Agreements (SLAs) to achieve negotiation. Since cloud computing represents a category of distributed system, negotiation should be established between service providers and consumers in a faster and reliable manner. Automated Negotiation is such a process that is closely associated with Multi-agent Systems. We propose A Negotiation system using fuzzy ontology is addressed by us in this research work where the cloud service specification and consumer requirements with vagueness are stored on cloud ontology. Here, each party needs to choose its own agent in order for negotiation. Agents have both consumer’s and provider’s details and their hard and soft preferences for a particular service. Agents need to negotiate on the basis of a set of Quality of Service (QoS) parameters like duration, availability, price etc. as required by the user. On completion of the negotiation process, user receives a feedback from the agent regarding the probability of negotiation. This negotiation framework is dynamic and efficient in nature.