Abstract
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, 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 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.
Highlights
We chose GreenCloud for comparison as (a) we utilized the same simulator as GreenCloud, and (b) GreenCloud is one of the most cited energy efficient resource scheduling technique
Workload distribution at servers is the main element that describes how computation work will be performed by servers in data center, it depicts the usage pattern of the servers according to the load
It has been observed that energy efficiency techniques do not consider fault tolerance
Summary
Data centers are very large computing facilities comprising thousands of servers, hundreds of switches, and Gigabit communication links, storage systems, redundant power supplies, and environment controlling units. Data centers are being extensively used for internal operations and Information Technology (IT) services of government organization, Internet service providers (ISP), commercial IT services providers, cloud computing service providers, industrial units, and educational institutions. Two types of application are common in data centers, (a) outward web content, e.g., video streams, web pages, and (b) internal processing, e.g., indexing, jobs scheduling [1,2]. A data center should be highly reliable, scalable, redundant, fault-tolerant, and costeffective. According to a study of outages at U.S.-based data centers by the Ponemon
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