Analysis of OpenFlow Network for Power Optimization by a Genetic Algorithm Based on Co-evolution and MLB routing

Abstract

In this paper, we propose a power consumption optimization with respect to node on/off switching. In particular, we present an integer optimization problem which enables us to describe suitable green networking as functions of network topology, traffic matrix, and link bandwidths. Furthermore, we show an approximation algorithm based on Multinomial Logit Based （MLB） routing protocol, which is a new multi-path routing and Genetic Algorithm Based on Co-evolution. By numerical examples, we have discussed that our methods causes significant improvements in green networking.