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Performance prediction of multi-agent based simulation applications on the Grid
2007 (English)In: Proceedings of World Academy of Science Engineering and Technology. Vol. 21, 2007, 103-108 p.Conference paper, Published paper (Refereed)
Abstract [en]

A major requirement for Grid application developers is ensuring performance and scalability of their applications. Predicting the performance of an application demands understanding its specific features. This paper discusses performance modeling and prediction of multi-agent based simulation (MABS) applications on the Grid. An experiment conducted using a synthetic MABS workload explains the key features to be included in the performance model. The results obtained from the experiment show that the prediction model developed for the synthetic workload can be used as a guideline to understand to estimate the performance characteristics of real world simulation applications.

Place, publisher, year, edition, pages
2007. 103-108 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:hkr:diva-11453ISI: 000260423500018OAI: oai:DiVA.org:hkr-11453DiVA: diva2:679753
Conference
Conference of the World Academy of Science Engineering and Technology
Available from: 2013-12-16 Created: 2013-12-16 Last updated: 2013-12-16Bibliographically approved
In thesis
1. Multi-agent based simulations in the grid environment
Open this publication in new window or tab >>Multi-agent based simulations in the grid environment
2007 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The computational Grid has become an important infrastructure as an execution environment for scientific applications that require large amount of computing resources.  Applications which would otherwise be unmanageable or take a prohibitively longer execution time under previous computing paradigms can now be executed efficiently on the Grid within a reasonable time.

Multi-agent based simulation (MABS) is a methodology used to study and understand the dynamics of real world phenomena in domains involving interaction and/or cooperative problem solving where the participants are characterized by entities having autonomous and social behaviour.  For certain domains the size of the simulation is extremely large, intractable without employing adequate computing resources such as the Grid. 

Although the Grid has come with immense opportunities to resource demanding applications such as MABS, it has also brought with it a number of challenges related to performance.  Performance problems may have their origins either on the side of the computing infrastructure or the application itself, or both. 

This thesis aims at improving the performance of MABS applications by overcoming problems inherent to the behaviour of MABS applications.  It also studies the extent to which the MABS technologies have been exploited in the field of simulation and find ways to adapt existing technologies for the Grid.  It investigates performance monitoring and prediction systems in the Grid environment and their implementation for MABS application with the purpose of identifying application related performance problems and their solutions.

Our research shows that large-scale MABS applications have not been implemented despite the fact that many problem domains that cannot be studied properly with only partial simulation.  We assume that this is due to the lack of appropriate tools such as MABS platforms for the Grid.  Another important finding of this work is the improvement of application performance through the use of MABS specific middleware.

Place, publisher, year, edition, pages
Karlskrona: Department of Systems and Software Engineering, Blekinge Institute of Technology, 2007. 104 p.
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 2007:06
Keyword
Agenter (datorprogram)
National Category
Computer Science
Identifiers
urn:nbn:se:hkr:diva-11456 (URN)9789172951181 (ISBN)
Available from: 2013-12-16 Created: 2013-12-16 Last updated: 2013-12-16Bibliographically approved

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf