Fault tolerance, performance, and throughput have been major areas of research and development since the evolution of large-scale networks.Internet-based applications are rapidly growing, including large-scale computations, here search engines, high-definition video streaming, e-commerce, and video on demand.In recent years, energy efficiency and fault tolerance have gained significant importance in data center networks and various studies directed the attention towards green computing.Data centers consume a huge amount of energy and various architectures and techniques have been proposed to improve the energy efficiency of data centers.
However, there is a tradeoff between energy efficiency and fault tolerance.The objective of this study is to highlight a better tradeoff between the two extremes: (a) high energy efficiency and (b) ensuring high availability through bushranger awning fault tolerance and redundancy.The main objective of the proposed Energy-Aware Fault-Tolerant (EAFT) approach is to keep one level of redundancy for fault tolerance while scheduling resources for energy efficiency.The resultant energy-efficient data center network provides availability as well as fault tolerance at reduced operating cost.
The main contributions of this article are: (a) we propose an Energy-Aware Fault-Tolerant (EAFT) data center network scheduler; (b) we compare EAFT with energy efficient resource scheduling techniques to provide analysis of parameters such as, workload distribution, average task per servers, and energy consumption; and (c) we highlight effects of energy efficiency techniques on the network performance of the data center.