Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs

The use of cloud computing to implement business processes is becoming increasingly important because users can benefit from the economic and technical advantages of this technology. The concept of the Business Process as a Service (BPaaS) is a new solution in the use of specific business processes as a medium for aligning information technology and business. However, managing and deploying business processes on heterogeneous Cloud providers is still a challenge for organizations due to interoperability concerns. This paper suggests an algorithm for optimizing the resource allocation of the business process in Extended Federated BPaaS model in accordance with the requirements of the user’s policy. The developed model has been compared with other popular models supporting the service/business process policy and shows that the proposed model can effectively execute business processes with regards to infrastructure and data transfer costs. To evaluate the model, we implemented this algorithm on WorkflowSim tool, taking into account the challenges of data transfer in the cloud federation environment. The results of the experiments highlight the algorithm’s efficiency compared with initial deployment in a way that the proposed optimization mechanism reduces the cost of transferring data between clouds and can improve performance of workflow execution in cloud federation in terms of makespan time and cost