Experiments on gridification and hyperinfrastructure experiments in optimization and process synthesis

Du Du, Siyu Yang, Antonis C. Kokossis, Patrick Linke

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

The systematic development of new products and processes relies upon the extensive experimentation with simulation and optimization models. Integration between stages is currently manual as resources are heterogeneous (experimental databases, PDFs, computer models, property and cost data, software, technical reports, and images) and widely distributed (separate or distant R&D groups sharing complementary or similar knowledge and expertise). Grids and hyper-infrastructure environments offer particularly attractive technologies with a potential to enable integrated applications and the design of distributed experiments in industrial environments. The paper addresses the design of synthesis experiments in hyper-infrastructure clusters that support GT4.0. The experiments are designed around homogeneous sections of the Markov chains and are distributed over using advanced middleware and upperware (Superscalar and Gridway). The implementation enables the visualization of results and the analysis of solutions.

Original languageEnglish
Title of host publication17th European Symposium on Computer Aided Process Engineering
Pages171-176
Number of pages6
Volume24
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume24
ISSN (Print)15707946

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Keywords

  • Grid, distributed computing, optimization, Grid middleware, Globus toolkits, Gridway, Grid Superscalar

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Du, D., Yang, S., C. Kokossis, A., & Linke, P. (2007). Experiments on gridification and hyperinfrastructure experiments in optimization and process synthesis. In 17th European Symposium on Computer Aided Process Engineering (Vol. 24, pp. 171-176). (Computer Aided Chemical Engineering; Vol. 24). https://doi.org/10.1016/S1570-7946(07)80052-6