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

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

Descripción

Título: A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers
Autor/es:
  • Pagán Ortiz, Josué
  • Zapater Sancho, Marina
  • Cubo, Oscar
  • Arroba García, Patricia
  • Martín Ayuso, Vicente
  • Moya Fernández, José Manuel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: XVIII Conference on the Design of Circuits and Integrated Systems
Fechas del Evento: 27/11/2013 - 29/11/2013
Lugar del Evento: San Sebastián, Spain
Título del Libro: XVIII Conference on the Design of Circuits and Integrated Systems
Fecha: 2013
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería Electrónica
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 29886
Identificador DC: http://oa.upm.es/29886/
Identificador OAI: oai:oa.upm.es:29886
Depositado por: Memoria Investigacion
Depositado el: 28 Jul 2014 19:02
Ultima Modificación: 22 Abr 2016 00:14
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