Federated Cloud Architecture is a heterogeneous and distributed model that provides
infrastructures related to the cloud by aggregating different Infrastructure-as-a-Service (IaaS) providers. In this case, it is an exciting task to
select the optimal service cloud provider for the customer and then deploy it. In this paper,
a new provider discovery
algorithm and fuzzy sets ranking model is proposed in the modified federated
architecture and then
the performance is
evaluated. The proposed
discovery method shortlists the provider based on the Quality of Service (QoS)
indicators suggested by the Service Measurement Index (SMI) with the Service Level
Agreement (SLA) that
provides improved performance. In addition to that, the cost is also included that
represents the
fulfillment 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 of
priorities and an aggregation
of these priorities. With some simple rules, the fuzzy set may be combined with the QoS indicators. The Weighted
Tuned Queuing Scheduling (WTOS) Algorithm is proposed to resolve the issue of starvation in the
existing architecture and manage the requests effectively. Experimental results
show that the proposed
architecture has a
better successful selection rate, average response time and less overhead,
compared to the existing architecture that had supported the Cloud environment.
