An effective of bio-inspired multiverse optimization based controller placement in software defined networks environment

An effective of bio-inspired multiverse optimization based controller placement in software defined networks environment

연구 분야: Networking

학회: International Journal of Information Technology

Software Defined Networking (SDN) is a revolutionary network structure theoretical context built on the segregation of data and control planes. A few significant aspects of SDN are open code, scalability, centralized network organization, efficient use of network resources, security, effectual traffic control, and many others. Controller placement is significant in SDN for improving network reliability and performance. Many studies have focused on the controller placement problem (CPP), addressing network reliability and potential, with some considering both reliability and latency together to optimize communication efficiency. Therefore, this article introduces an Effective Bio-Inspired Multiverse Optimization Algorithm for Controller Placement (EBIMVO-CP) technique in SDN. The EBIMVO-CP technique aims to diminish the maximum latencies from every switch to the relevant backup controllers. The EBIMVO-CP model involves the design of a multiverse optimization (MVO) model that is generated as an optimization problem to enhance the system, quality, consistency, and convenience. Moreover, objective function optimization is derived by involving three input variables in terms of controller utilization (CU), traffic flow, and reliability. The experimental result analysis of the EBIMVO-CP approach is examined using a series of measures. The performance validation of the EBIMVO-CP approach portrayed a superior ADEL of 1.08 ms over existing techniques.