A survey on techniques for improving the energy efficiency of large-scale distributed systems

AC Orgerie, MD Assuncao, L Lefevre - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
The great amounts of energy consumed by large-scale computing and network systems,
such as data centers and supercomputers, have been a major source of concern in a society …

On architecture design, congestion notification, TCP incast and power consumption in data centers

Y Zhang, N Ansari - IEEE Communications Surveys & Tutorials, 2012 - ieeexplore.ieee.org
With rapid deployment of modern data center networks (DCNs), many problems with respect
to DCN architecture, congestion notification, TCP Incast, and power consumption have been …

[PDF][PDF] United states data center energy usage report

A Shehabi, S Smith, D Sartor, R Brown, M Herrlin… - 2016 - escholarship.org
This report estimates historical data center electricity consumption back to 2000, relying on
previous studies and historical shipment data, and forecasts consumption out to 2020 based …

IEEE 802.3 az: the road to energy efficient ethernet

K Christensen, P Reviriego, B Nordman… - IEEE …, 2010 - ieeexplore.ieee.org
Ethernet is the dominant wireline communications technology for LANs with over 1 billion
interfaces installed in the US and over 3 billion worldwide. In 2006 the IEEE 802.3 Working …

A machine-learning digital-twin for rapid large-scale solar-thermal energy system design

TI Zohdi - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
In many industrialized regions of the world, large-scale photovoltaic systems now contribute
a significant part to the energy portfolio during daylight operation. However, as energy …

A digital-twin and machine-learning framework for precise heat and energy management of data-centers

TI Zohdi - Computational Mechanics, 2022 - Springer
The massive growth in data-centers has led to increased interest and regulations for
management of waste heat and its utilization. This work seeks to develop a combined Digital …

A novel traffic prediction method using machine learning for energy efficiency in service provider networks

F Rau, I Soto, D Zabala-Blanco, C Azurdia-Meza, M Ijaz… - Sensors, 2023 - mdpi.com
This paper presents a systematic approach for solving complex prediction problems with a
focus on energy efficiency. The approach involves using neural networks, specifically …

[SÁCH][B] Handbook of Energy-Aware and Green Computing, Volume 1

I Ahmad, S Ranka - 2012 - books.google.com
Implementing energy-efficient CPUs and peripherals as well as reducing resource
consumption have become emerging trends in computing. A landmark for researchers in …

An adaptive digital framework for energy management of complex multi-device systems

TI Zohdi - Computational Mechanics, 2022 - Springer
Abstract Energy Management Systems (EMS) refer to frameworks that control the energy
generation, transmission and storage for multiple devices which are coupled together …

Energy saving in carrier-grade networks: A survey

R Maaloul, L Chaari, B Cousin - Computer Standards & Interfaces, 2018 - Elsevier
Energy consumption of large-scale networks has become a primary concern in a society
increasingly dependent on information technology. Novel solutions that contribute to …