Large Scale Distributed Simulation on the Grid

Theodoropoulos, Georgios; Zhang, Yi; Chen, D.; Minson, Rob; Turner, Stephen J.; Cai, Wentong; Xie, Yong; Logan, Brian

doi:10.1109/ccgrid.2006.1630953

Cited by 28 publications

(14 citation statements)

References 10 publications

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“…Our vision is a "Grid plug-and-play distributed simulation system", a collaborative distributed simulation environment where analysts at different locations develop, modify, assemble and execute distributed simulations over the Grid (Theodoropoulos et al 2003). However, a number of important new research challenges need to be addressed before this vision is realized.…”

Section: Position Statement Of Stephen J Turnermentioning

confidence: 99%

Panel on future challenges in modeling methodology

Taylor¹,

Lendermann

Paul³

et al. 2004

Proceedings of the 2004 Winter Simulation Conference, 2004.

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This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks; rapid model development and maintenance; legacy modeling approaches; markup languages; virtual interactive process design and simulation; standards; and Grid computing. POSITION STATEMENT OF PETER LENDERMANNThis contribution is specifically looking from the point of view of discrete event simulation as a tool for virtual experimentation to enable design and performance enhancement in manufacturing and logistics. In a world of increasing complexity and customization it will be very important to make sure that the complexity of the systems that simulations are supposed to represent does not develop faster than the capability to model these systems. To achieve this, modeling techniques will have to meet five major requirements as described in the following sections.

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Section: Position Statement Of Stephen J Turnermentioning

confidence: 99%

Panel on future challenges in modeling methodology

Taylor¹,

Lendermann

Paul³

et al. 2004

Proceedings of the 2004 Winter Simulation Conference, 2004.

Self Cite

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“…At line (5), the main loop of the AMRS starts. Firstly, the number of runs of that round is computed at line (6) and then the number of runs in each node's job is computed at lines (7)- (9). At line (10) jobs are sent to the nodes.…”

Section: Adaptive Multi-round Synchronous Scheduling Algorithmmentioning

confidence: 99%

Sim-PETEK: A Parallel Simulation Execution Framework for Grid Environments

Bozağaç

Karaduman

Kara

et al. 2011

Journal of Defense Modeling & Simulation

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In this paper we introduce a framework for parallel and distributed execution of simulations (Sim-PETEK), a middleware for minimizing the total run time of batch runs and Monte Carlo trials. Sim-PETEK proposes a generic solution for applications in the simulation domain, which improves on our previous work done to parallelize simulation runs in a single node, multiple central processing unit (CPU) setting. Our new framework aims at managing a heterogeneous computational resource pool consisting of multiple CPU nodes distributed on a potentially geographically dispersed network, through a service-oriented middleware layer that is compliant to Web Services Resource Framework standard, thereby providing a scalable and flexible architecture for simulation software developers. What differentiates Sim-PETEK from a general-purpose, Grid-based job-distribution middleware is a number of simulation-specific aspects regarding the specification, distribution, monitoring, result collection and aggregation of simulation runs. These aspects are prevalent in the structure of the messages and in the protocol of interaction both among the constituent services of the framework and within the interfaces exposed to the external clients.

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“…Our vision is a "Grid plug-and-play distributed simulation system", a collaborative distributed simulation environment where analysts at different locations develop, modify, assemble and execute distributed simulations over the Grid [23]. However, a number of important new research challenges need to be addressed before this vision is realized.…”

Section: Position Statement Of Stephen J Turnermentioning

confidence: 99%