Supporting a visualization application on a self-adapting grid middleware

Liang Chen, Han Wei Shen, Gagan Agrawal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes how we have used a self-adapting middleware to implement a distributed and adaptive volume rendering application. The middleware we have used is GATES (Grid-based Adap-Tive Execution on Streams), which allows processing of streaming data in a distributed environment. A challenge in supporting such an application on streaming data is to balance the visualization quality and the speed of processing, which can be automatically done by the GATES middleware. We describe how we divide the application into a number of processing stages, and what adaptation parameters we use. Our experimental studies have focused on evaluating the self-adaptation enabled by the middleware, and measuring the overhead associated with the use of middleware.

Original languageEnglish (US)
Title of host publicationIPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
DOIs
StatePublished - 2008
Externally publishedYes
EventIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium - Miami, FL, United States
Duration: Apr 14 2008Apr 18 2008

Publication series

NameIPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM

Conference

ConferenceIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium
CountryUnited States
CityMiami, FL
Period4/14/084/18/08

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Electrical and Electronic Engineering

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