GreenDisc: a HW/SW energy optimization framework in globally distributed computation

Zapater Sancho, Marina and Ayala Rodrigo, José Luis and Moya Fernández, José Manuel (2012). GreenDisc: a HW/SW energy optimization framework in globally distributed computation. "Lecture Notes in Computer Science", v. 7656 ; pp. 1-8. ISSN 0302-9743. https://doi.org/10.1007/978-3-642-35377-2_1.

Description

Title: GreenDisc: a HW/SW energy optimization framework in globally distributed computation
Author/s:
  • Zapater Sancho, Marina
  • Ayala Rodrigo, José Luis
  • Moya Fernández, José Manuel
Item Type: Article
Título de Revista/Publicación: Lecture Notes in Computer Science
Date: December 2012
ISSN: 0302-9743
Volume: 7656
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (848kB) | Preview

Abstract

In recent future, wireless sensor networks (WSNs) will experience a broad high-scale deployment (millions of nodes in the national area) with multiple information sources per node, and with very specific requirements for signal processing. In parallel, the broad range deployment of WSNs facilitates the definition and execution of ambitious studies, with a large input data set and high computational complexity. These computation resources, very often heterogeneous and driven on-demand, can only be satisfied by high-performance Data Centers (DCs). The high economical and environmental impact of the energy consumption in DCs requires aggressive energy optimization policies. These policies have been already detected but not successfully proposed. In this context, this paper shows the following on-going research lines and obtained results. In the field of WSNs: energy optimization in the processing nodes from different abstraction levels, including reconfigurable application specific architectures, efficient customization of the memory hierarchy, energy-aware management of the wireless interface, and design automation for signal processing applications. In the field of DCs: energy-optimal workload assignment policies in heterogeneous DCs, resource management policies with energy consciousness, and efficient cooling mechanisms that will cooperate in the minimization of the electricity bill of the DCs that process the data provided by the WSNs.

More information

Item ID: 16826
DC Identifier: http://oa.upm.es/16826/
OAI Identifier: oai:oa.upm.es:16826
DOI: 10.1007/978-3-642-35377-2_1
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-35377-2_1
Deposited by: Memoria Investigacion
Deposited on: 10 Aug 2013 08:27
Last Modified: 21 Apr 2016 17:10
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM