Distributed bandwidth selection approach for cooperative peer to peer multi-cloud platform

Abstract

Network function virtualization (NFV) is a well-accepted software-defined network (SDN) architecture concept. NFV is severally used in cloud platform to enhance the utilization of available network resources. The concept behind NFV is a design of software process architecture with a bunch of collaborative resource utilization functions. The progression of platform providers builds a communication service plan with the help of virtual machines. We propose biogeography-based optimization (BBO) technique in order to enrich virtual network functions (VNFs) to utilize available bandwidth resource in an energy-efficient and cost-effective manner. The cooperative bandwidth sharing approach using BBO reduces delay mean at the time of supervision the impending requests in a multi-cloud environment. Experimental results validate that the utilization of available bandwidth has increased using the proposed scheme with respect to the single user-dedicated resource allocation and multi-user dedicated resource allocation. Delay means, as well as subscription cost, has reduced compared to the existing methods. The correctness of the investigational outcome has been established using an experimental setup along with the proposed algorithm.