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Federated Cloud Architecture is a heterogeneous and distributed model that providesinfrastructures related to the cloud by aggregating different Infrastructure-as-a-Service (IaaS) providers. In this case, it is an exciting task toselect the optimal service cloud provider for the customer and then deploy it. In this paper,a new provider discoveryalgorithm and fuzzy sets ranking model is proposed in the modified federatedarchitecture and thenthe performance isevaluated. The proposeddiscovery method shortlists the provider based on the Quality of Service (QoS)indicators suggested by the Service Measurement Index (SMI) with the Service LevelAgreement (SLA) thatprovides improved performance. In addition to that, the cost is also included thatrepresents thefulfillment at the level of the end user. The ranking mechanism is based on a Fuzzy set approach, having three general phases, such as problem decomposition, judgment ofpriorities and an aggregationof these priorities. With some simple rules, the fuzzy set may be combined with the QoS indicators. The WeightedTuned Queuing Scheduling (WTOS) Algorithm is proposed to resolve the issue of starvation in theexisting architecture and manage the requests effectively. Experimental resultsshow that the proposedarchitecture has abetter successful selection rate, average response time and less overhead,compared to the existing architecture that had supported the Cloud environment. |
