Dynamic Routing Structure for an RTI Taking an Evolutionary Approach Towards Optimization

Date of Award

Summer 2007

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computational Modeling & Simulation Engineering

Program/Concentration

Modeling and Simulation

Committee Director

John Sokolowski

Committee Member

Andreas Tolk

Committee Member

MinSong

Call Number for Print

Special Collections LD4331.E53 D38 2007

Abstract

The Runtime Infrastructure (RTI) is the common communication framework that High Level Architecture (HLA) simulations incorporate to exchange data. By abstracting the network communication layer from simulation, a common protocol for information exchange is achieved, allowing any RTI- based simulation to exchange data with any other. Such commonality can bring a limitation upon the network infrastructure, enforcing all federates to agree on the same communication policy. While this static network structure is not always the case, an optimal choice would be to adhere to the dynamic properties of a network. Static network configurations deny federates the ability to dynamically avoid network congestion, thus forcing some, if not all, federates to endure suboptimal communication performance. Simulation states can be dynamic, which further allows them to be defined by a set of more general states, based on the network's traffic pattern or signature. By taking advantage of these signatures, the RTI can incorporate a specific routing scheme, per signature, thus improving overall network performance. It is possible for an RTI to anticipate the next simulation state, and effectively predict the proper network routing configuration to achieve optimal network communication. RTI- s (a scalable RTI implementation) has been augmented to interpret the simulation state and dynamically reroute client federates based on optimal paths determined by taking an evolutionary approach to routing.

Rights

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DOI

10.25777/80ch-qw16

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