Análise de Desempenho da Técnica de Offloading de Imagens com Drone em Ambiente de Computação em Névoa
Abstract
Despite the recent advances that have made Unmanned Air Vehicles (UAVs) in several scenarios a reality, there are several challenges to be faced to exploit their full potential. The use of Fog Computing becomes a solution to help these resource-constrained mobile devices to outsource all processing power to a remote cloud resource at the network edge. This paper presents the performance evaluation of the offloading technique using drone and cloudlet in a fog computing environment for the images transmission and processing through the algorithm of faces detection and recognition in real time.
References
Lima, C. M. d. A., da Silva, E. A., and Velloso, P. B. (2018). Avaliação de desempenho do
ieee 802.11 para coleta de grande volume de dados em florestas com auxı́lio de drones.
In 17 o Workshop em Desempenho de Sistemas Computacionais e de Comunicação
(WPerformance 2018), volume 17. SBC.
Mohamed, N., Al-Jaroodi, J., Jawhar, I., Idries, A., and Mohammed, F. (2018). Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change, (May):0–1. Mohamed, N., Al-Jaroodi, J., Jawhar, I., Noura, H., and Mahmoud, S. (2017). Uavfog: A uav-based fog computing for internet of things. In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, pages 1–8. IEEE.
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., and Jue, J. P. (2019). All one needs to know about fog computing and related edge computing paradigms: a complete survey. Journal ofSystems Architecture.
ieee 802.11 para coleta de grande volume de dados em florestas com auxı́lio de drones.
In 17 o Workshop em Desempenho de Sistemas Computacionais e de Comunicação
(WPerformance 2018), volume 17. SBC.
Mohamed, N., Al-Jaroodi, J., Jawhar, I., Idries, A., and Mohammed, F. (2018). Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change, (May):0–1. Mohamed, N., Al-Jaroodi, J., Jawhar, I., Noura, H., and Mahmoud, S. (2017). Uavfog: A uav-based fog computing for internet of things. In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, pages 1–8. IEEE.
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., and Jue, J. P. (2019). All one needs to know about fog computing and related edge computing paradigms: a complete survey. Journal ofSystems Architecture.
Published
2019-07-08
How to Cite
BARBOSA, João; BARROS, Isaac ; SERRA, Wendel ; JUNIOR, Warley ; CARMONA, João ; KURIBAYASHI, Hugo .
Análise de Desempenho da Técnica de Offloading de Imagens com Drone em Ambiente de Computação em Névoa. In: WORKSHOP ON PERFORMANCE OF COMPUTER AND COMMUNICATION SYSTEMS (WPERFORMANCE), 2019. , 2019, Belém.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
ISSN 2595-6167.
DOI: https://doi.org/10.5753/wperformance.2019.6479.
