Fuzzy based intelligent semantic cloud service discovery for effective utilization of services

Abstract

The distinguished characteristics such as on demand provisioning, pay-per-use, acceptable pricing schemes of cloud computing attracts the user community to avail different level of services from the cloud providers. Though many cloud service providers are existing, issues with respect to service identification, selection, trust evaluation and recommendations attract significant research challenges. To cater various solutions for these challenges, the concept of cloud brokerage emerges recently for effective provisioning of cloud services. As an intermediate layer, a typical cloud broker offers various value-added services on behalf of service providers. However, the exploration of service effectiveness in the broker based cloud computing requires further research. Therefore, the research work proposes novel techniques in the broker based cloud framework to increase the effectiveness of cloud service utilization. This proposed work comprises of four tasks for the better improvement of cloud service utilization. To begin with, a cloud broker is proposed to obtain service requirements in the numerical representation. The infrastructure type of services such as computing and storage are considered for this proposal. With respect to the user specification, the proposed broker constructs the cloud ontology to represent the available services from the service repository. newline