Improved Performance of Cloud Networks Using Chaotic Black Widow Optimization Algorithm

Abstract

– Nowadays, the speed of the internet becomes very high and users use a lot of data from a data center, so users need to access a lot of data from the nearest place to avoid any delay. The data will be stored without any interference from users. Due to the previous reasons, Cloud Computing (CC) plays an important role in finding the best route for data to reach users by general networks without a delay and with the least energy consumption. To achieve scalability, protocols are used and developed for networks for a suitable performance in the cloud computing networks. In this paper, a natural-inspired protocol is used in cloud networks to find a good routing, this protocol is called Chaotic Black Widow Optimization Algorithm (CBWOA). Some natural characteristics of the routing strategy are inspired by the black widow optimization algorithm. Taguchi's methods were used for tuning parameters of CBWOA based on orthogonal array experiments. CBWOA is applied with three constraints to measure two factors called energy consumption and throughput by finding best path direction in cloud Computing networks. CBWOA is evaluated in an experimental cloud using the current routing protocols against old routing protocols of the performance network. Finally, the best route in cloud networks is founded successfully and the performance of the developed protocol is associated with two factors, the first one is maximizing (the throughput with efficiency 93.4921% and the Packet delivery ratio with efficiency 90.3087%) and the second one is minimizing (the delay with efficiency 62.1788% and the energy consumed with efficiency 51.1406%).