Collaborative cloud-edge-end task offloading in mobile-edge computing networks with limited communication capability

C Kai, H Zhou, Y Yi, W Huang - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging computing paradigm for enabling low-
latency, high-bandwidth and agile mobile services by deploying computing platform at the …

Collaborative computation offloading for multiaccess edge computing over fiber–wireless networks

H Guo, J Liu - IEEE Transactions on Vehicular Technology, 2018 - ieeexplore.ieee.org
By offloading the computation tasks of the mobile devices (MDs) to the edge server, mobile-
edge computing (MEC) provides a new paradigm to meet the increasing computation …

Deep reinforcement learning-based cloud-edge collaborative mobile computation offloading in industrial networks

S Chen, J Chen, Y Miao, Q Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of mobile industrial applications and due to the limited coverage
of static edge servers, traditional edge computing technology has great limitations in …

Computation offloading with data caching enhancement for mobile edge computing

S Yu, R Langar, X Fu, L Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Computation offloading is a proven successful paradigm for enabling resource-intensive
applications on mobile devices. Moreover, in view of emerging mobile collaborative …

Computation offloading for distributed mobile edge computing network: A multiobjective approach

F Sufyan, A Banerjee - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is emerging as a cornerstone technology to address the
conflict between resource-constrained smart devices (SDs) and the ever-increasing …

End-edge-cloud collaborative computation offloading for multiple mobile users in heterogeneous edge-server environment

K Peng, H Huang, S Wan, VCM Leung - Wireless Networks, 2020 - Springer
With the drastic development of Internet of things, the number of connected mobile users
(MUs) is increasing at an unprecedented speed. The increasing popularity of MUs has …

Collaborative cloud and edge computing for latency minimization

J Ren, G Yu, Y He, GY Li - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
By performing data processing at the network edge, mobile edge computing can effectively
overcome the deficiencies of network congestion and long latency in cloud computing …

Collaborate edge and cloud computing with distributed deep learning for smart city internet of things

H Wu, Z Zhang, C Guan, K Wolter… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …

A novel framework for mobile-edge computing by optimizing task offloading

A Naouri, H Wu, NA Nouri, S Dhelim… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the emergence of mobile computing offloading paradigms, such as mobile-edge
computing (MEC), many Internet of Things applications can take advantage of the computing …

A socially-aware hybrid computation offloading framework for multi-access edge computing

S Yu, B Dab, Z Movahedi, R Langar… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Computation offloading manages resource-intensive and mobile collaborative applications
(MCA) on mobile devices where much processing is replicated with multiple users in the …