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Applications of agent based simulation
School of Engineering, Blekinge Institute of Technology.
School of Engineering, Blekinge Institute of Technology.
School of Engineering, Blekinge Institute of Technology.
School of Engineering, Blekinge Institute of Technology.
Show others and affiliations
2007 (English)In: Multi-agent-based simulation VII: International workshop, MABS 2006, Hakodate, Japan, May 8, 2006, revised and invited papers / [ed] Luis Antunes & Keiki Takadama, Berlin: Springer Berlin/Heidelberg, 2007, p. 15-27Conference paper, Published paper (Refereed)
Abstract [en]

This paper provides a survey and analysis of applications of Agent Based Simulation (ABS). A framework for describing and assessing the applications is presented and systematically applied. A general conclusion from the study is that even if ABS seems a promising approach to many problems involving simulation of complex systems of interacting entities, it seems as the full potential of the agent concept and previous research and development within ABS often is not utilized. We illustrate this by providing some concrete examples. Another conclusion is that important information of the applications, in particular concerning the implementation of the simulator, was missing in many papers. As an attempt to encourage improvements we provide some guidelines for writing ABS application papers.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2007. p. 15-27
Series
Lecture notes in computer science, ISSN 0302-9743 ; 4442
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hkr:diva-11438ISI: 000251466000002Libris ID: 11382226ISBN: 978-3-540-76536-3 (print)ISBN: 978-3-540-76539-4 (print)OAI: oai:DiVA.org:hkr-11438DiVA, id: diva2:679040
Conference
7th International Workshop on Multi-Agent-Based Simulation
Available from: 2013-12-13 Created: 2013-12-13 Last updated: 2018-01-11Bibliographically 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. p. 104
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 2007:06
Keywords
Agenter (datorprogram)
National Category
Computer Sciences
Identifiers
urn:nbn:se:hkr:diva-11456 (URN)9789172951181 (ISBN)
Available from: 2013-12-16 Created: 2013-12-16 Last updated: 2018-01-11Bibliographically approved
2. Improving the performance of distributed multi-agent based simulation
Open this publication in new window or tab >>Improving the performance of distributed multi-agent based simulation
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This research investigates approaches to improve the performance of multi-agent based simulation (MABS) applications executed in distributed computing environments.  MABS is a type of micro-level simulation used to study dynamic systems consisting of interacting entities, and in some cases, the number of the simulated entities can be very large.  Most of the existing publicly available MABS tools are single-threaded desktop applications that are not suited for distributed execution.  For this reason, general-purpose multi-agent platforms with multi-threading support are sometimes used for deploying MABS on distributed resources.  However, these platforms do not scale well for large simulations due to huge communication overheads.  In this research, different strategies to deploy large scale MABS in distributed environments are explored, e.g., tuning existing multi-agent platforms, porting single-threaded MABS tools to distributed environment, and implementing a service oriented architecture (SOA) deployment model.

Although the factors affecting the performance of distributed applications are well known, the relative significance of the factors is dependent on the architecture of the application and the behaviour of the execution environment. We developed mathematical performance models to understand the influence of these factors and, to analyze the execution characteristics of MABS.  These performance models are then used to formulate algorithms for resource management and application tuning decisions.

The most important performance improvement solutions achieved in this thesis include: predictive estimation of optimal resource requirements, heuristics for generation of agent reallocation to reduce communication overhead and, an optimistic synchronization algorithm to minimize time management overhead.  Additional application tuning techniques such as agent directory caching and message aggregations for fine-grained simulations are also proposed.  These solutions were experimentally validated in different types of distributed computing environments.

Another contribution of this research is that all improvement measures proposed in this work are implemented on the application level.  It is often the case that the improvement measures should not affect the configuration of the computing and communication resources on which the application runs.  Such application level optimizations are useful for application developers and users who have limited access to remote resources and lack authorization to carry out resource level optimizations.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Institute of Technology, 2011. p. 213
Series
Blekinge Institute of Technology doctoral dissertation series, ISSN 1653-2090 ; 2011:04
Keywords
agent based simulation, MABS, distributed systems, application performance
National Category
Computer Sciences
Identifiers
urn:nbn:se:hkr:diva-11457 (URN)9789172951983 (ISBN)
Available from: 2013-12-17 Created: 2013-12-16 Last updated: 2018-01-11Bibliographically approved

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Mengistu, Dawit

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