TY - GEN
T1 - Multi-Device Task Offloading with Scheduling in an Edge Cloud Platform
AU - Yasin, Moch
AU - Ahmad, Tohari
AU - Ijtihadie, Royyana Muslim
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/17
Y1 - 2021/7/17
N2 - Offloading is the way we manage jobs in mobile computing. We execute some jobs in the mobile device itself, cloud, or fog server in remote areas with more computing capability through the internet. Many researchers focus on minimizing mobile energy consumption by profiling the jobs, choosing the right combination of mobile-cloud execution. Little researchers focus on scheduling the job execution. In contrast, this execution schedule determines overall energy consumption and execution time of all mobile devices in a group of offloading, such as healthcare and security systems. Here, we propose a scheduled data transfer and job execution to minimize energy consumption and offloading time. Also, the scheduled offloading is compared to unscheduled ones in a cloud-edge platform. We get a significant time efficiency of 54 percent and -0,32 percent efficiency of energy from the simulation.
AB - Offloading is the way we manage jobs in mobile computing. We execute some jobs in the mobile device itself, cloud, or fog server in remote areas with more computing capability through the internet. Many researchers focus on minimizing mobile energy consumption by profiling the jobs, choosing the right combination of mobile-cloud execution. Little researchers focus on scheduling the job execution. In contrast, this execution schedule determines overall energy consumption and execution time of all mobile devices in a group of offloading, such as healthcare and security systems. Here, we propose a scheduled data transfer and job execution to minimize energy consumption and offloading time. Also, the scheduled offloading is compared to unscheduled ones in a cloud-edge platform. We get a significant time efficiency of 54 percent and -0,32 percent efficiency of energy from the simulation.
KW - cloud computing
KW - multi-device
KW - network infrastructure
KW - offloading
KW - scheduling
UR - http://www.scopus.com/inward/record.url?scp=85115673675&partnerID=8YFLogxK
U2 - 10.1109/COMNETSAT53002.2021.9530831
DO - 10.1109/COMNETSAT53002.2021.9530831
M3 - Conference contribution
AN - SCOPUS:85115673675
T3 - 10th IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2021 - Proceedings
SP - 108
EP - 115
BT - 10th IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2021
Y2 - 17 July 2021 through 18 July 2021
ER -
