Dynamical cloud hosts assignment to achieve cost-effectiveness in cloud radio access networks

Cloud radio access network (C-RAN) has been proposed as a core network in the fifth-gene rati on mobile communications system. The computing resources are clustered as a pool that is centralised management as a cloud. The pool provides flexible capabilities to satisfy variant demands with large scale processing. This work stands on an operator perspective to analyse a centralised management mechanism. The research problem is a type of knapsack and bin packing problems that is formulated as a mathematical formulation. The objective is to increase the revenue with minimal server operations cost. Two-phase approximation method is proposed. In phase I, a dynamic programming method is utilized for finding a set of tasks with maximum revenue. In Phase II, three modified Next-Fit, First-Fit, and Best-Fit schemes are developed for solving and evaluating the resource allocations to reduce the number of power-on servers. It presents a way to support operators determine how to allocate the cloud hosts by leveraging cloud technology. The finding can be used to improve resource utilization and achieve cost-effectiveness in C-RANs.