ENERGY-EFFICIENT HARDWARE AND SOFTWARE: INVESTIGATING THE DEVELOPMENT AND DEPLOYMENT OF ENERGY-EFFICIENT SOLUTIONS FOR DATA CENTERS

Paper ID: EIJTEM_2017_4_4_23-34

Author's Name: Ashish Gupta

Volume: 4

Issue: 4

Year: 2017

Page No: 23-34

Abstract:

The exponential growth of digital services has led to a sharp increase in global data center energy consumption, posing significant environmental and economic challenges. This study investigates the development and deployment of energy-efficient hardware and software solutions aimed at reducing power usage in data centers without compromising performance or scalability. Through a comprehensive review of current technologies and case studies, this research identifies key innovations in low-power processors, server consolidation, advanced cooling mechanisms, power-aware operating systems, and intelligent scheduling algorithms. Employing a mixed-methods approach, including quantitative energy efficiency benchmarks and qualitative analysis of industry best practices, the study explores how leading technology firms such as Google, Microsoft, and Meta implement sustainable infrastructure. The results demonstrate that integrating energy-efficient hardware with software-defined optimization strategies can reduce energy consumption by up to 40%, depending on the configuration and workload type. The analysis also highlights trade-offs between energy savings, cost, and performance. This research contributes to the growing field of green computing by providing actionable insights into how data centers can transition toward sustainable operations. The findings are relevant to IT managers, system architects, policy-makers, and researchers striving to balance environmental impact with technological advancement in the digital age.

Keywords: Energy efficiency, data centers, green computing, power-aware systems, sustainable IT, low-power hardware, cloud infrastructure, software-defined data center (SDDC)

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