TY - GEN
T1 - Load-Aware Computation Offloading with Privacy Preservation for 5G Networks in Edge Computing
AU - Xu, Xiaolong
AU - Liu, Xihua
AU - Zhang, Xuyun
AU - Qi, Lianyong
AU - Yuan, Yuan
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019 Published by Springer Nature Switzerland AG 2019. All Rights Reserved.
PY - 2019
Y1 - 2019
N2 - Nowadays, with the advances in wireless communication, the mobile devices are becoming important due to various applications which provide mobile users with plentiful services in the devices. The mobile devices can hardly complete all the computing tasks as they have limitations on the battery capacity, physical size, etc. In order to release these limitations, in the fifth generation (5G), the computing tasks can be offloaded from the mobile devices to the central units (CUs) which are enhanced into edge nodes (ENs) for processing. However, it is still a problem to select the appropriate offloading destination, aiming to improve the load balance for all the ENs. In this paper, we first formulate an optimization problem to improve the load balance of all the ENs for 5G networks in edge computing, considering the time consumption and the privacy conflicts. Then, a load-aware computation offloading method with privacy preservation, named LCOP, is designed. Finally, experimental results and evaluations validate our proposed method is both effective and feasible.
AB - Nowadays, with the advances in wireless communication, the mobile devices are becoming important due to various applications which provide mobile users with plentiful services in the devices. The mobile devices can hardly complete all the computing tasks as they have limitations on the battery capacity, physical size, etc. In order to release these limitations, in the fifth generation (5G), the computing tasks can be offloaded from the mobile devices to the central units (CUs) which are enhanced into edge nodes (ENs) for processing. However, it is still a problem to select the appropriate offloading destination, aiming to improve the load balance for all the ENs. In this paper, we first formulate an optimization problem to improve the load balance of all the ENs for 5G networks in edge computing, considering the time consumption and the privacy conflicts. Then, a load-aware computation offloading method with privacy preservation, named LCOP, is designed. Finally, experimental results and evaluations validate our proposed method is both effective and feasible.
KW - 5G
KW - Edge nodes
KW - Load balance
KW - Mobile devices
KW - Privacy conflicts
UR - http://www.scopus.com/inward/record.url?scp=85161932939&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-28468-8_13
DO - 10.1007/978-3-030-28468-8_13
M3 - 会议稿件
AN - SCOPUS:85161932939
T3 - EAI International Conference on Mobile Computing, Applications and Services (MobiCASE)
SP - 171
EP - 183
BT - Mobile Computing, Applications, and Services - 10th EAI International Conference, MobiCASE 2019 - Proceedings
A2 - Yin, Yuyu
A2 - Li, Ying
A2 - Gao, Honghao
A2 - Zhang, Jilin
PB - ICST
T2 - 10th EAI International Conference on Mobile Computing, Applications, and Services, MobiCASE 2019
Y2 - 14 June 2019 through 15 June 2019
ER -