G Yang, L Hou, X He, D He, S Chan… - IEEE internet of things …, 2020 - ieeexplore.ieee.org
Computation offloading from a mobile device to the edge server is an emerging paradigm to reduce completion latency of intensive computations in mobile-edge computing (MEC). In …
T Zhao, S Zhou, X Guo, Z Niu - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Mobile edge computing is a novel technique in which mobile devices offload computation- intensive tasks with stringent delay requirements to the edge cloud. However, the limited …
R Bi, Q Liu, J Ren, G Tan - Tsinghua Science and Technology, 2020 - ieeexplore.ieee.org
Mobile-edge computing casts the computation-intensive and delay-sensitive applications of mobile devices onto network edges. Task offloading incurs extra communication latency and …
Mobile edge computing (MEC) is emerging as a cornerstone technology to address the conflict between resource-constrained smart devices (SDs) and the ever-increasing …
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC), which makes up for the deficiencies of mobile devices in terms of storage resource …
L Li, H Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
As more and more compute-intensive and delay-sensitive applications are deployed on smart mobile devices, mobile edge computing is considered an effective way to solve the …
Caching and offloading in Mobile Edge Computing (MEC) are hot topics recently. Existing caching strategies at the edge ignore the programming ability of edge network and design …
S Xiao, C Liu, K Li, K Li - Future Generation Computer Systems, 2020 - Elsevier
Mobile edge computing (MEC) has emerged as an effective paradigm that delivers cloud services and functions to edge devices, with the objective to further enhance quality of …
H Zhou, Z Wang, H Zheng, S He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper considers computation offloading and service caching in a three-tier mobile cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …