Affiliations: [a] Department of Information Technology, Kumaraguru College of Technology, Coimbatore, India
| [b] School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India
| [c] Visiting Postdoc Scientist, Federal University of Piaui‘, Brazil
Correspondence:
[*]
Corresponding author. T.S. Pradeep Kumar, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. E-mail: tspradeepkumar@vit.ac.in.
Abstract: Service Level Agreement (SLA) is an agreement between the service provider and consumer to provide the verifiable quality of services. Using the valuable metrics in SLA, a service consumer could easily evaluate the service provider. Though there are different types of SLA models are available between the consumer and provider, the proposed approach describes the Fuzzy rule base SLA agreement generation among multiple service providers. A negotiation system is designed in this work to collect the different sets of provider services. With their desired quality metrics, a common Fuzzy based SLA report is generated and compared against the existing consumer requirements. From the analysis of the common agreement report, consumers can easily evaluate the best service with the desired Impact service, cost and Quality. The main advantage of this approach is that it reduces the time consumption of a consumer. Moreover, the best service provider can be selected among multiple providers with the desired QoS parameters. At the same time, the bilateral negotiation is enhanced with the approach of multilateral negotiation to improve the searching time of consumers.
Keywords: Multiparty negotiation, SLA, expert advice, service level agreement, fuzzy based support system
