Energy Aware Computing

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (30 September 2015) | Viewed by 8773

Special Issue Editor

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Guest Editor
Department of Computer Systems and Computation, Universitat Politécnica de Valéncia, 46022 Valencia, Spain
Interests: parallel computing; numerical algorithms; GPU computing; structured matrices

Special Issue Information

Dear Colleague,

Power consumption has a direct impact on the operation and maintenance costs of High Performance Computing (HPC) centers. As we target the Exaflop barrier, the energy consumption impairs the deployment of new facilities and makes the HPC centers economically unfeasible. This high consumption of power comes from the ever growing number of transistors on the processors and the steep increase in the number of them in clusters, the traditional way to obtain more and more performance. In addition, the cooling systems and other infrastructure elements required to maintain the system under a temperature threshold do nothing but increase to economical and ecological problem. Therefore, since energy consumption is nowadays a major concern in HPC, solutions to this problem stand as a crucial challenge. Much research should still be done in both hardware and software energy-aware tools to reduce power requirements. This is the challenge the HPC community will face for the upcoming years.

This collection aims at continuously publishing papers on the topic. When submitting your manuscript to Computers, simply indicate in the submission process that you would like to have your paper considered as part of this topical collection. Please also read the Instructions for Authors before submitting your paper to Computers.

Dr. Pedro Jorda Alonso
Guest Editor

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  • energy-aware computing
  • power consumption
  • energy modeling
  • energy monitoring
  • energy management
  • energy-aware analysis
  • energy tuning
  • energy-saving methods
  • green IT & computing
  • low power electronics

Published Papers (1 paper)

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Energy Management in Industrial Plants
by Dario Bruneo, Angelo Cucinotta, Antonino Longo Minnolo, Antonio Puliafito and Marco Scarpa
Computers 2012, 1(1), 24-40; - 13 Sep 2012
Cited by 5 | Viewed by 8167
The Smart Grid vision imposes a new approach towards energy supply that is more affordable, reliable and sustainable. The core of this new vision is the use of advanced technology to monitor power system dynamics in real time and identify system in stability. [...] Read more.
The Smart Grid vision imposes a new approach towards energy supply that is more affordable, reliable and sustainable. The core of this new vision is the use of advanced technology to monitor power system dynamics in real time and identify system in stability. In order to implement strategic vision for energy management, it is possible to identify three main areas of investigation such as smart generation, smart grid and smart customer. Focusing on the latter topic, in this paper we present an application specifically designed to monitor an industrial site with particular attention to power consumption. This solution is a real time analysis tool, able to produce useful results to have a strategic approach in the energy market and to provide statistic analysis useful for the future choices of the industrial company. The application is based on a three layers architecture. The technological layer uses a Wireless Sensor Network (WSN) to acquire data from the electrical substations. The middleware layer faces the integration problems by processing the raw data. The application layer manages the data acquired from the sensors. This WSN based architecture represents an interesting example of a low cost and non-invasive monitoring application to keep the energy consumption of an industrial site under control. Some of the added value features of the proposed solution are the routing network protocol, selected in order to have an high availability of the WSN, and the use of the WhereX middleware, able to easily implement integration among the different architectural parts. Full article
(This article belongs to the Special Issue Energy Aware Computing)
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