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 …

Wireless power transfer in wirelessly powered sensor networks: A review of recent progress

SMA Huda, MY Arafat, S Moh - Sensors, 2022 - mdpi.com
With the emergence of the Internet of Things (IoT), billions of wireless devices, including
sensors and wearable devices, are evolving under the IoT technology. The limited battery …

A cooperative memetic algorithm with learning-based agent for energy-aware distributed hybrid flow-shop scheduling

JJ Wang, L Wang - IEEE Transactions on Evolutionary …, 2021 - ieeexplore.ieee.org
With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …

Energy efficient mobile cloud computing powered by wireless energy transfer

C You, K Huang, H Chae - IEEE Journal on Selected Areas in …, 2016 - ieeexplore.ieee.org
Achieving long battery lives or even self sustainability has been a long standing challenge
for designing mobile devices. This paper presents a novel solution that seamlessly …

A knowledge-based cooperative algorithm for energy-efficient scheduling of distributed flow-shop

JJ Wang, L Wang - IEEE Transactions on Systems, Man, and …, 2018 - ieeexplore.ieee.org
Facing increasingly serious ecological problems, sustainable development and green
manufacturing have attracted much attention. Meanwhile, with the development of …

Deep residual learning for image recognition

K He, X Zhang, S Ren, J Sun - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
Deeper neural networks are more difficult to train. We present a residual learning framework
to ease the training of networks that are substantially deeper than those used previously. We …

A memetic differential evolution algorithm for energy-efficient parallel machine scheduling

X Wu, A Che - Omega, 2019 - Elsevier
This paper considers an energy-efficient bi-objective unrelated parallel machine scheduling
problem to minimize both makespan and total energy consumption. The parallel machines …

Dynamic right-sizing for power-proportional data centers

M Lin, A Wierman, LLH Andrew… - IEEE/ACM Transactions …, 2012 - ieeexplore.ieee.org
Power consumption imposes a significant cost for data centers implementing cloud services,
yet much of that power is used to maintain excess service capacity during periods of low …

Design, modeling, and evaluation of a scalable multi-level checkpointing system

A Moody, G Bronevetsky, K Mohror… - SC'10: Proceedings …, 2010 - ieeexplore.ieee.org
High-performance computing (HPC) systems are growing more powerful by utilizing more
hardware components. As the system mean-time-before-failure correspondingly drops …

Energy-aware wireless microsensor networks

V Raghunathan, C Schurgers, S Park… - IEEE Signal …, 2002 - ieeexplore.ieee.org
This article describes architectural and algorithmic approaches that designers can use to
enhance the energy awareness of wireless sensor networks. The article starts off with an …