Publications:Real-time task reconfiguration support applied to an UAV-based surveillance system
From CERES
Title | Real-time task reconfiguration support applied to an UAV-based surveillance system |
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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. |