Back to Search Start Over

A 3d particle visualization system for temperature management

Authors :
Nancy Rodriguez
William Puech
Benoit Lange
Xavier Vasques
Hervé Rey
Institut des Sciences du Calcul et des Données (ISCD)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Sorbonne Universités
ADVanced Analytics for data SciencE (ADVANSE)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Image & Interaction (ICAR)
IBM PSSC Montpellier - Innovation Lab.
IBM PSSC Montpellier
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
FUI RIDER
Source :
Visualization and Data Analysis 2011, SPIE Electronic Imaging 2011, Parallel Processing for Imaging Applications, SPIE Electronic Imaging 2011, Parallel Processing for Imaging Applications, 2011, San Fransisco, United States. ⟨10.1117/12.872484⟩, Visualization and Data Analysis, Electronic Imaging, Electronic Imaging, Jan 2011, San Francisco, CA, United States. pp.78680T, ⟨10.1117/12.872484⟩
Publication Year :
2011
Publisher :
HAL CCSD, 2011.

Abstract

International audience; This paper deals with a 3D visualization technique proposed to analyze and manage energy efficiency from a data center. Data are extracted from sensors located in the IBM Green Data Center in Montpellier France. These sensors measure different information such as hygrometry, pressure and temperature. We want to visualize in real-time the large among of data produced by these sensors. A visualization engine has been designed, based on particles system and a client server paradigm. In order to solve performance problems, a Level Of Detail solution has been developed. These methods are based on the earlier work introduced by J. Clark in 1976.1 In this paper we introduce a particle method used for this work and subsequently we explain different simplification methods we have applied to improve our solution.

Details

Language :
English
Database :
OpenAIRE
Journal :
Visualization and Data Analysis 2011, SPIE Electronic Imaging 2011, Parallel Processing for Imaging Applications, SPIE Electronic Imaging 2011, Parallel Processing for Imaging Applications, 2011, San Fransisco, United States. ⟨10.1117/12.872484⟩, Visualization and Data Analysis, Electronic Imaging, Electronic Imaging, Jan 2011, San Francisco, CA, United States. pp.78680T, ⟨10.1117/12.872484⟩
Accession number :
edsair.doi.dedup.....b88fc790133a478918d9f562de6f906f
Full Text :
https://doi.org/10.1117/12.872484⟩