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Large Scale Distributed Simulation on the Grid
"... The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locations. These simulation systems often require huge computing resources and data sets, which may be geographically distribute ..."
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The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locations. These simulation systems often require huge computing resources and data sets, which may be geographically distributed. In order to support collaborative model development and to cater for the increasing complexity of such systems, it is necessary to harness distributed resources over the Internet. The emergence of Grid technologies provide exciting new opportunities for large scale distributed simulation, enabling collaboration and the use of distributed computing resources, while also facilitating access to geographically distributed data sets. This paper discusses the research challenges that must be addressed before these opportunities can be exploited and presents HLA GRID REPAST, a system for executing large scale distributed simulations of agent based systems over the Grid.
The architecture and implementation of the BacGrid simulator
, 2007
"... In this working paper, we describe the architecture and implementation of BACGRID, a prototype Grid-based simulator for bacterial biofilms. Three versions of BACGRID have been implemented: a non-distributed version, a version based on the High Level Architecture (HLA) simulator interoperability fram ..."
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In this working paper, we describe the architecture and implementation of BACGRID, a prototype Grid-based simulator for bacterial biofilms. Three versions of BACGRID have been implemented: a non-distributed version, a version based on the High Level Architecture (HLA) simulator interoperability framework which allows the distribution
HLA Simulation of Agent-Based Bacterial Models
"... ABSTRACT Modelling and simulation form an integral part of a predictive and explanatory approach to computational systems biology. However the development of such complex simulation applications is extremely challenging, typically requiring collaborative effort from researchers with different domain ..."
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ABSTRACT Modelling and simulation form an integral part of a predictive and explanatory approach to computational systems biology. However the development of such complex simulation applications is extremely challenging, typically requiring collaborative effort from researchers with different domain knowledge and expertise, often at different locations. We believe these challenges can potentially be met by a combination of two emerging standards and their supporting middleware: the Grid and the High Level Architecture. To evaluate the suitability of the HLA as a standard for systems biology simulations on the Grid, we are developing a prototype HLA-compliant, Grid-based simulator for systems biology which we call BACGRID. In this paper, we focus on the distribution of BACGRID using HLA. We outline the systems biology problem we have adopted as a test case, briefly describe the simulation model and the architecture of the simulator, and present preliminary results of experiments to investigate the scalability of the BACGRID HLA distribution. 1
AIR FORCE MATERIEL COMMAND
, 2008
"... DESTRUCTION NOTICE – Destroy by any method that will prevent disclosure of contents or reconstruction of the document. See additional restrictions described on inside pages ..."
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DESTRUCTION NOTICE – Destroy by any method that will prevent disclosure of contents or reconstruction of the document. See additional restrictions described on inside pages
journal homepage: www.elsevier.com/locate/jpdc Synchronization in federation community networks
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www.elsevier.com/locate/fgcs Large scale agent-based simulation on the grid ✩
, 2008
"... The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locations. These simulation systems often require huge computing resources and data sets, which can be geographically distribute ..."
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The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locations. These simulation systems often require huge computing resources and data sets, which can be geographically distributed. In order to support collaborative model development and to cater for the increasing complexity of such systems, it is necessary to harness distributed resources over the Internet. The emergence of Grid technologies provides exciting new opportunities for largescale distributed simulation, enabling collaboration and the use of distributed computing resources, while also facilitating access to geographically distributed data sets. This paper presents HLA Grid RePast, a middleware platform for executing large scale collaborating RePast agent-based models on the Grid. The paper also provides performance results from a deployment of the system between UK and Singapore. c ○ 2008 Elsevier B.V. All rights reserved.
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"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
