Classification of data center to maximize energy utilization and save total cost of ownership

Abstract

Multi-tier data centers have become a norm for hosting modern Internet applications as they provide a flexible, modular, scalable and high performance environment. However, these benefits come at a price of the economic dent incurred in powering and cooling these large hosting centers. Energyefficiency, performance, power utilization and environmental considerations become critical considerations in designingand implementing large, cluster-based multi-tier data centers for supporting a multitude of services. Tierperformance standards are key features for comparing the capabilities of a particular design topology against others or to compare group of data centers. This paper proposes to categorize data centers in four tier level categories depending on different parameters like performance, facilities, throughput, and subsystems in data center. The proposed technique helps to measure the performance and efficiency accurately and resourcefully. The classification helps technical and non-technical data center managers in identifying the anticipated performance of site infrastructure and design topologies equipped with latest data center standards to measure the performance and efficiency in terms of energy utilization and emission of greenhouse gases very hazardous for environmental sustainability and global warming.