A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers

Pagán Ortiz, Josué and Zapater Sancho, Marina and Cubo, Oscar and Arroba García, Patricia and Martín Ayuso, Vicente and Moya Fernández, José Manuel (2013). A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers. In: "XVIII Conference on the Design of Circuits and Integrated Systems", 27/11/2013 - 29/11/2013, San Sebastián, Spain. pp. 140-145.

Description

Title: A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers
Author/s:
  • Pagán Ortiz, Josué
  • Zapater Sancho, Marina
  • Cubo, Oscar
  • Arroba García, Patricia
  • Martín Ayuso, Vicente
  • Moya Fernández, José Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: XVIII Conference on the Design of Circuits and Integrated Systems
Event Dates: 27/11/2013 - 29/11/2013
Event Location: San Sebastián, Spain
Title of Book: XVIII Conference on the Design of Circuits and Integrated Systems
Date: 2013
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

High-Performance Computing, Cloud computing and next-generation applications such e-Health or Smart Cities have dramatically increased the computational demand of Data Centers. The huge energy consumption, increasing levels of CO2 and the economic costs of these facilities represent a challenge for industry and researchers alike. Recent research trends propose the usage of holistic optimization techniques to jointly minimize Data Center computational and cooling costs from a multilevel perspective. This paper presents an analysis on the parameters needed to integrate the Data Center in a holistic optimization framework and leverages the usage of Cyber-Physical systems to gather workload, server and environmental data via software techniques and by deploying a non-intrusive Wireless Sensor Net- work (WSN). This solution tackles data sampling, retrieval and storage from a reconfigurable perspective, reducing the amount of data generated for optimization by a 68% without information loss, doubling the lifetime of the WSN nodes and allowing runtime energy minimization techniques in a real scenario.

More information

Item ID: 29886
DC Identifier: http://oa.upm.es/29886/
OAI Identifier: oai:oa.upm.es:29886
Deposited by: Memoria Investigacion
Deposited on: 28 Jul 2014 19:02
Last Modified: 22 Apr 2016 00:14
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