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Related Experiment Video

Updated: Aug 29, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Energy efficiency in cloud computing data centers: a survey on software technologies.

Avita Katal^1,2, Susheela Dahiya², Tanupriya Choudhury²

¹Research Scholar, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.

Cluster Computing

|September 5, 2022

Summary

This summary is machine-generated.

This paper explores software-based green data center technologies to reduce energy consumption and CO2 emissions. It details methods for improving power management at software, virtualization, and application levels for sustainable IT infrastructure.

Keywords:

Cloud Computing Containerization Data center Load balancing Workload categorization

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Last Updated: Aug 29, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

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Published on: December 13, 2016

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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Published on: February 3, 2021

Area of Science:

Computer Science
Environmental Science
Information Technology

Background:

Cloud computing is a dominant IT paradigm with significant energy demands.
Data center energy consumption is projected to rise dramatically, increasing CO2 emissions.
Environmental impacts include substantial power usage and electronic waste (e-waste).

Purpose of the Study:

To survey software-based technologies for building energy-efficient green data centers.
To analyze power management strategies at individual software levels.
To highlight the environmental impact of data centers and explore sustainable solutions.

Main Methods:

Review of software-based technologies for green data centers.
Analysis of energy efficiency in containerized environments.
Examination of power management techniques at virtualization, operating system, and application levels.

Main Results:

Identified software-level technologies to reduce data center energy consumption.
Discussed approaches for improving power management in cloud infrastructure.
Detailed environmental impacts, including e-waste and data center rating standards.

Conclusions:

Software-based solutions are crucial for developing green data centers and mitigating environmental pollution.
Focus on long-term technological advancement is essential for sustainable IT.
Addressing challenges and needs of cloud organizations is key to promoting green cloud adoption.