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A survey on techniques for improving the energy efficiency of large-scale distributed systems
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 …
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
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 …
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
With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …
Energy efficient mobile cloud computing powered by wireless energy transfer
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 …
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
Facing increasingly serious ecological problems, sustainable development and green
manufacturing have attracted much attention. Meanwhile, with the development of …
manufacturing have attracted much attention. Meanwhile, with the development of …
Deep residual learning for image recognition
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 …
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 …
problem to minimize both makespan and total energy consumption. The parallel machines …
Dynamic right-sizing for power-proportional data centers
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 …
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
High-performance computing (HPC) systems are growing more powerful by utilizing more
hardware components. As the system mean-time-before-failure correspondingly drops …
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 …
enhance the energy awareness of wireless sensor networks. The article starts off with an …