Offloading Data Distribution Management to Network Processors in HLA-Based Distributed Simulations

The high-level architecture (HLA) standard developed by the Department of Defense in the United States is a key technology to perform distributed simulation. Inside the HLA framework, many different simulators (termed federates) may be interconnected to create a single more complex simulator (federa...

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Veröffentlicht in:IEEE transactions on parallel and distributed systems Jg. 19; H. 3; S. 289 - 298
Hauptverfasser: Santoro, A., Fujimoto, R.M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Communication system traffic control
Computation
Computer networks
Computer simulation
Design concepts
Distributed
Distributed decision making
Distributed systems
Distributed/Internet based software engineering tools and techniques
Distribution management
Federations
Internet
Networks
Parallel systems
Processors
Runtime
Simulators
Software engineering
Standards development
Telecommunication traffic
Traffic control
Design concepts
Distributed systems
Parallel systems
Distributed/Internet based software engineering tools and techniques
Distributed
ISSN:1045-9219, 1558-2183
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Zusammenfassung:The high-level architecture (HLA) standard developed by the Department of Defense in the United States is a key technology to perform distributed simulation. Inside the HLA framework, many different simulators (termed federates) may be interconnected to create a single more complex simulator (federation). Data distribution management (DDM) is an optional subset of services that controls which federates should receive notification of state modifications made by other federates. A simple DDM implementation will usually generate much more traffic than needed, whereas a complex one might introduce too much overhead. In this work, we describe an approach to DDM that delegates a portion of the DDM computation to a processor on the network card in order to provide more CPU time for other federate and Runtime Infrastructure (RTI) computations while still being able to exploit the benefits of a complex DDM implementation to reduce the amount of information exchange.
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ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2007.70715