An Energy-Efficient Middleware for Computation Offloading in Real-Time Embedded Systems

Author(s):  
Anas Toma ◽  
Santiago Pagani ◽  
Jian-Jia Chen ◽  
Wolfgang Karl ◽  
Jorg Henkel

Author(s):  
Jia Zhan ◽  
Nikolay Stoimenov ◽  
Jin Ouyang ◽  
Lothar Thiele ◽  
Vijaykrishnan Narayanan ◽  
...  


2016 ◽  
Vol 17 (5) ◽  
pp. 733-743 ◽  
Author(s):  
Hussein El Ghor ◽  
El-Hadi M. Aggoune


Author(s):  
Yuchuan Liu ◽  
Cong Liu ◽  
Xia Zhang ◽  
Wei Gao ◽  
Liang He ◽  
...  


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bongjae Kim ◽  
Jinman Jung ◽  
Hong Min ◽  
Junyoung Heo

Remote sensing using drones has the advantage of being able to quickly monitor large areas such as rivers, oceans, mountains, and urban areas. In the case of applications dealing with large sensing data, it is not possible to send data from a drone to the server online, so it must be copied to the server offline after the end of the flight. However, online transmission is essential for applications that require real-time data analysis. The existing computation offloading scheme enables online transmission by processing large amounts of data in a drone and transferring it to the server, but without consideration for real-time constraints. We propose a novel computation offloading scheme which considers real-time constraints while minimizing the energy consumption of drones. Experimental results showed that the proposed scheme satisfied real-time constraints compared to the existing computation offloading scheme. Furthermore, the proposed technique showed that real-time constraints were satisfied even in situations where delays occurred on the server due to the processing of requests from multiple drones.



Sign in / Sign up

Export Citation Format

Share Document