Framework for Ranking Service Providers of Federated Cloud using Fuzzy Logic Sets

Federated cloud architecture is heterogeneous and distributed model that provides infrastructures related to cloud by aggregating different IaaS providers. In this case, it is an exciting task to select the optimal service cloud provider for the customer and deployed it. In this paper, new provider discovery algorithm and fuzzy logic sets ranking model is proposed in the modified federated architecture and the performance is evaluated. Proposed discovery method shortlists the provider based on the Quality of Service (QoS) indicators suggested by SMI with SLA that provides improved performance, in addition to that, the cost is also included that represent the fulfillment at the level of end user. Ranking mechanism based on Fuzzy logic set approach having three general phases such as problem decomposition, judgment of priorities and aggregation of these priorities. Fuzzy set may be combined QoS indicators with some simple rules. Weighted Tuned Scheduling Algorithm proposed to resolve the issue of starvation in the existing architecture and manage the requests effectively. Experimental results show that proposed architecture have better successful selection rate, average response time and less overhead compared to the existing architecture that supported cloud environment.