Imprecise Computation as an Enabler for Complex and Time Critical HLA Simulation NetworksShow others and affiliations
2014 (English)In: Proceedings of Simulation Interoperability Workshop, 2014, p. 171-179Conference paper, Published paper (Refereed)
Abstract [en]
A trend over the past years is that simulation systems for training are being connected in simulation networks, allowing the interaction of teams spread in distributed sites. By combining interconnected simulation systems the 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, mission rehearsal on site, since available computation resources are usually very limited in this scenario, or for a joint fires scenario, where the large and complex functional chain (including intelligence, C2, forward observer, pilots, etc.) may overload existing resources. In this work, the technique of imprecise computation in real-time systems (ICRS) to preserve time-critical simulation tasks is presented. The ICRS technique allows time-critical tasks to produce quicker solutions 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 Level Architecture (HLA), standardized as the IEEE 1516-series.
Place, publisher, year, edition, pages
2014. p. 171-179
Keywords [en]
scheduling for imprecise computation, HLA, simulation, joint fires, real-time systems, integration
National Category
Computer Systems
Research subject
Technology; Distributed Real-Time Systems; Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-9891Scopus ID: 2-s2.0-84910115603ISBN: 9781634393898 (print)OAI: oai:DiVA.org:his-9891DiVA, id: diva2:743361
Conference
Fall Simulation Interoperability Workshop, 2014 Fall SIW; Orlando; United States; 8 September 2014 through 12 September 2014
Projects
Agent-orient large-scale complex virtual environments2014-09-042014-09-042023-01-03Bibliographically approved