Publications:Real-time task reconfiguration support applied to an UAV-based surveillance system

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Title Real-time task reconfiguration support applied to an UAV-based surveillance system
Author A.P.D. Binotto and Edison Pignaton de Freitas and Carlos Eduardo Pereira and André Stork and Tony Larsson
Year 2008
PublicationType Conference Paper
Journal
HostPublication 2008 International Multiconference on Computer Science and Information Technology (Imcsit)
DOI http://dx.doi.org/10.1109/IMCSIT.2008.4747302
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.
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239362
Abstract 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.