Dynamic Grid-Based Data Distribution Management in Large Scale Distributed Simulations

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Description

Distributed simulation is an enabling concept to support the networked interaction of models and real world elements that are geographically distributed. This technology has brought a new set of challenging problems to solve, such as Data Distribution Management (DDM). The aim of DDM is to limit and control the volume of the data exchanged during a distributed simulation, and reduce the processing requirements of the simulation hosts by relaying events and state information only to those applications that require them. In this thesis, we propose a new DDM scheme, which we refer to as dynamic grid-based DDM. A lightweight UNT-RTI ... continued below

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Roy, Amber Joyce December 2000.

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This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 350 times . More information about this thesis can be viewed below.

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  • Roy, Amber Joyce

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Description

Distributed simulation is an enabling concept to support the networked interaction of models and real world elements that are geographically distributed. This technology has brought a new set of challenging problems to solve, such as Data Distribution Management (DDM). The aim of DDM is to limit and control the volume of the data exchanged during a distributed simulation, and reduce the processing requirements of the simulation hosts by relaying events and state information only to those applications that require them. In this thesis, we propose a new DDM scheme, which we refer to as dynamic grid-based DDM. A lightweight UNT-RTI has been developed and implemented to investigate the performance of our DDM scheme. Our results clearly indicate that our scheme is scalable and it significantly reduces both the number of multicast groups used, and the message overhead, when compared to previous grid-based allocation schemes using large-scale and real-world scenarios.

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  • December 2000

Added to The UNT Digital Library

  • Sept. 25, 2007, 9:22 p.m.

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  • April 26, 2016, 5:09 p.m.

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Citations, Rights, Re-Use

Roy, Amber Joyce. Dynamic Grid-Based Data Distribution Management in Large Scale Distributed Simulations, thesis, December 2000; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc2699/: accessed April 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .