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Imprecise Computation as an Enabler for Complex and Time Critical HLA Simulation Networks
University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics. (DRTS, IL)
Universidade Estadual de Campinas - UNICAMP Cidade Universitária "Zeferino Vaz", 13.083-970 Campinas, Brazil.
Combitech/Saab, Sweden.
University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics. (DRTS)ORCID iD: 0000-0002-5223-4381
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2014 (English)In: Proceedings of Simulation Interoperability Workshop, 2014Conference paper (Refereed)
Abstract [en]

A trend over the past years is that simulation systems for training are being connected in simulationnetworks, allowing the interaction of teams spread in distributed sites. By combining interconnected simulation systemsthe simulation complexity increases and may affect time-critical simulation tasks in a negative way. As a consequence,the training simulation objectives may not be met. The same problem may occur when performing, for example, missionrehearsal on site, since available computation resources are usually very limited in this scenario, or for a joint firesscenario, where the large and complex functional chain (including intelligence, C2, forward observer, pilots, etc.) mayoverload existing resources. In this work, the technique of imprecise computation in real-time systems (ICRS) topreserve time-critical simulation tasks is presented. The ICRS technique allows time-critical tasks to produce quickersolutions for approximate results and saves computational resources. This paper discusses the main advantages of theICRS technique by a review of the commonly used optimization concepts built upon imprecise computation field. Thepaper ends with presenting a work-in-progress: an architectural solution for aligning ICRS with the High LevelArchitecture (HLA), standardized as the IEEE 1516-series.

Place, publisher, year, edition, pages
Keyword [en]
scheduling for imprecise computation, HLA, simulation, joint fires, real-time systems, integration
National Category
Computer Systems
Research subject
URN: urn:nbn:se:his:diva-9891OAI: diva2:743361
Simulation Interoperability Workshop
Agent-orient large-scale complex virtual environments
Available from: 2014-09-04 Created: 2014-09-04 Last updated: 2014-12-15Bibliographically approved

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