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Real-time task reconfiguration support applied to an UAV-based surveillance system
Fraunhofer IGD / TU Darmstadt, Germany.
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-4655-8889
PPGC UFRGS, Brazil.
Fraunhofer IGD / TU Darmstadt, Germany.
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2008 (Swedish)In: 2008 International Multiconference on Computer Science and Information Technology (Imcsit) / [ed] Ganzha, M, Piscataway, N.J.: IEEE Press, 2008, p. 581-588Conference paper, Published paper (Refereed)
Abstract [en]

Modern surveillance systems, such as those based on the use of Unmanned Aerial Vehicles, require powerful high- performance platforms to deal with many different algorithms that make use of massive calculations. At the same time, low- cost and high-performance specific hardware (e.g., GPU, PPU) are rising and the CPUs turned to multiple cores, characteriz- ing together an interesting and powerful heterogeneous execu- tion platform. Therefore, reconfigurable computing is a poten- tial paradigm for those scenarios as it can provide flexibility to explore the computational resources on heterogeneous cluster attached to a high-performance computer system platform. As the first step towards a run-time reconfigurable workload bal- ancing framework targeting that kind of platform, application time requirements and its crosscutting behavior play an impor- tant role for task allocation decisions. This paper presents a strategy to reallocate specific tasks in a surveillance system composed by a fleet of Unmanned Aerial Vehicles using aspect- oriented paradigms in order to address non-functional applica- tion timing constraints in the design phase. An aspect support from a framework called DERAF is used to support reconfigu- ration requirements and provide the resource information needed by the reconfigurable load-balancing strategy. Finally, for the case study, a special attention on Radar Image Process- ing will be given.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2008. p. 581-588
Keywords [sv]
Aspect-oriented, Computational resources, Design phase, Heterogeneous clusters, High-performance computers, High-performance platforms, Load-Balancing, Non-functional, Radar image processing, Re-configurable, Real-time tasks, Reconfigurable computing, Reconfiguration requirement, Resource information, Run-time reconfigurable, Specific hardware, Specific tasks, Surveillance systems, System platforms, Task allocation, Time requirements, Workload balancing
National Category
Mechanical Engineering Materials Engineering
Identifiers
URN: urn:nbn:se:hh:diva-2144DOI: 10.1109/IMCSIT.2008.4747302ISI: 000268848500085Scopus ID: 2-s2.0-70349315570Local ID: 2082/2539ISBN: 978-83-60810-14-9 OAI: oai:DiVA.org:hh-2144DiVA, id: diva2:239362
Conference
International Workshop on Real Time Software (RTS'08), Wisla, Poland, Oct. 20-22, 2008. Part of the International Multiconference on Computer Science and Information Technology.
Available from: 2008-11-18 Created: 2008-11-18 Last updated: 2022-09-13Bibliographically approved

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Pignaton de Freitas, EdisonLarsson, Tony

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
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  • en-US
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  • nn-NO
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  • Other locale
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Output format
  • html
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  • asciidoc
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