Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
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 …
applications due to the long distance between end-devices and remote datacenters. In …
Task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach
Y Wu, J **a, C Gao, J Ou, C Fan, J Ou, D Fan - Physical Communication, 2022 - Elsevier
This article examines a multi-user mobile edge computing (MEC) system for the Internet of
Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing …
Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing …
Computation offloading and service caching for intelligent transportation systems with digital twin
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …
increasing computation requirements of mobile applications. In MEC-enabled intelligent …
An integrated model of UTAUT2 to understand consumers' 5G technology acceptance using SEM-ANN approach
It has been a decade since the first extensive study on the internet's adoption and use was
conducted. Circumstances have changed in the last decade internet has become an …
conducted. Circumstances have changed in the last decade internet has become an …
A survey of mobile edge computing for the metaverse: Architectures, applications, and challenges
Metaverse is an emerging virtual universe where humans can have real-time interactions
and solid social links like in the physical world, and it opens up a new era of Internet and …
and solid social links like in the physical world, and it opens up a new era of Internet and …
Cooperative task offloading and service caching for digital twin edge networks: A graph attention multi-agent reinforcement learning approach
Z Yao, S **a, Y Li, G Wu - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …
the user equipments (UEs), thereby reducing the service delay of many emerging …
Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
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 …
of static edge servers, traditional edge computing technology has great limitations in …
Cloud–edge collaborative resource allocation for blockchain-enabled Internet of Things: A collective reinforcement learning approach
Driven by numerous emerging mobile devices and various Quality-of-Service (QoS)
requirements, mobile-edge computing (MEC) has been recognized as a prospective …
requirements, mobile-edge computing (MEC) has been recognized as a prospective …