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. In: "6th International Conference on Ubiquitous Computing and Ambient Intelligence", 03/12/2012 - 05/12/2012, Vitoria-Gasteiz, Spain. pp. 1-8. 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: Presentation at Congress or Conference (Article)
Event Title: 6th International Conference on Ubiquitous Computing and Ambient Intelligence
Event Dates: 03/12/2012 - 05/12/2012
Event Location: Vitoria-Gasteiz, Spain
Title of Book: Proceedings of the 6th International Conference on Ubiquitous Computing and Ambient Intelligence
Date: 2012
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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: 19480
DC Identifier: http://oa.upm.es/19480/
OAI Identifier: oai:oa.upm.es:19480
DOI: 10.1007/978-3-642-35377-2_1
Deposited by: Memoria Investigacion
Deposited on: 15 Sep 2013 11:01
Last Modified: 21 Apr 2016 19:31
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