Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

Energy-efficient computation offloading in vehicular edge cloud computing

X Li, Y Dang, M Aazam, X Peng, T Chen… - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of electrification, automation, and interconnection of the automobile
industry, the demand for vehicular computing has entered an explosive growth era. Massive …

Efficient task allocation for computation offloading in vehicular edge computing

Z Zhang, F Zeng - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular edge computing, the edge servers may be overloaded once too many vehicles
request the task offloading service, which will cause task offloading failure or the high …

Deep Q-Learning Based Computation Offloading Strategy for Mobile Edge Computing.

Y Wei, Z Wang, D Guo, FR Yu - Computers, Materials & …, 2019 - search.ebscohost.com
To reduce the transmission latency and mitigate the backhaul burden of the centralized
cloud-based network services, the mobile edge computing (MEC) has been drawing …

Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …

An optimal pricing scheme for the energy-efficient mobile edge computation offloading with OFDMA

SH Kim, S Park, M Chen… - IEEE Communications …, 2018 - ieeexplore.ieee.org
The mobile edge computation offloading (MECO) system has emerged as a promising
technology to address several problematic issues in cloud computing such as data …

Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Efficient multi-user computation offloading for mobile-edge cloud computing

X Chen, L Jiao, W Li, X Fu - IEEE/ACM transactions on …, 2015 - ieeexplore.ieee.org
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at
the edge of pervasive radio access networks in close proximity to mobile users. In this paper …

Decentralized computation offloading and resource allocation for mobile-edge computing: A matching game approach

QV Pham, T Leanh, NH Tran, BJ Park, CS Hong - IEEE Access, 2018 - ieeexplore.ieee.org
In this paper, we propose an optimization framework of computation offloading and resource
allocation for mobile-edge computing with multiple servers. Concretely, we aim to minimize …

[HTML][HTML] Energy-efficient task offloading strategy in mobile edge computing for resource-intensive mobile applications

MPJ Mahenge, C Li, CA Sanga - Digital Communications and Networks, 2022 - Elsevier
Abstract Mobile Edge Computing (MEC) has been considered a promising solution that can
address capacity and performance challenges in legacy systems such as Mobile Cloud …