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Pagán Ortiz, Josué, Zapater Sancho, Marina, Cubo, Oscar, Arroba García, Patricia, 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.
Title: | A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers |
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Author/s: |
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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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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.
Item ID: | 29886 |
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DC Identifier: | https://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 |