General queuing model for optimal seamless delivery of payload processing in multi-core processors
Cita com:
hdl:2117/116266
Tipus de documentArticle
Data publicació2017-07-10
Condicions d'accésAccés obert
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Abstract
Recent developments in unmanned aerial systems (UAS) provide new opportunities in remote sensing application. In contrast to satellite and conventional (manned) aerial tasks, UAS flights can be operated in a very short period of time. UAS can also be more specifically focused toward a given task such as crop reconnaissance or electric line tower inspection. For some applications, the delivery time of the remote sensing results is crucial. The current three-phase procedure of data acquisition, data downloading and data processing, performed sequentially in time, represents a drawback that reduces the benefits of using unmanned aerial systems. In this paper, we present a parallel processing strategy, based on queuing theory, in which the data processing phase is performed on board in parallel with data acquisition. The unmanned aerial system payload has been enlarged with low-cost, lightweight, multi-core boards to facilitate remote sensing data processing during flight. The storage of the raw sensing data is also done for possible further analysis; however, the ultimate decision support information can be seamless delivered to the customer upon landing. Furthermore, text alarms and limited imagery can also be provided during flight.
Descripció
This is a pre-print of an article published in The Journal of Supercomputing. The final authenticated version is available online at: https://doi.org/10.1007/s11227-017-2109-4.
CitacióSalamí, E., Barrado, C., Gallardo, A., Pastor, E. General queuing model for optimal seamless delivery of payload processing in multi-core processors. "Journal of supercomputing", 10 Juliol 2017, vol. 74, núm. 1, p. 87-104.
ISSN0920-8542
Versió de l'editorhttps://link.springer.com/article/10.1007/s11227-017-2109-4
Fitxers | Descripció | Mida | Format | Visualitza |
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FINAL.pdf | 1,073Mb | Visualitza/Obre | ||
SUPE17_Queues.pdf | Author's final draft | 668,5Kb | Visualitza/Obre |