Various Network Topologies and an Analysis Comparative Between Fat-Tree and BCube for a Data Center Network: An Overview

Abstract

The exponential rise of servers in the cloud generates the need for network topologies for specialized data centers, which means that the service requirements are accompanied by the availability of massive storage and quality of services, essential aspects for handling large volumes of data in large server farms located in the DCN. In turn, the requirements for new cloud services have grown exponentially, so DCNs face new challenges related to scalability, energy efficiency, network congestion, and cost, which are directly associated with the architectures and DCN network topologies. Similarly, from existing network topologies we propose a DCN topology. In this paper, Fat-Tree and BCube network topologies are compared by considering the architectures themselves, the metrics for comparing various topology types, and two statistical functions are used such as the exponential random traffic distribution and uniform random traffic distribution. This type of comparison helps to solve the existing problem regarding the demand for new services, load balance, bandwidth, and node requirements in a DC network infrastructure.