Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

A survey on task offloading in multi-access edge computing

A Islam, A Debnath, M Ghose, S Chakraborty - Journal of Systems …, 2021 - Elsevier
With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …

UAV-assisted task offloading in vehicular edge computing networks

X Dai, Z Xiao, H Jiang, JCS Lui - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

[Retracted] Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues

M Maray, J Shuja - Mobile Information Systems, 2022 - Wiley Online Library
Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …

Multi-access edge computing: A survey

A Filali, A Abouaomar, S Cherkaoui, A Kobbane… - IEEE …, 2020 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a key solution that enables operators to open their
networks to new services and IT ecosystems to leverage edge-cloud benefits in their …

A computation offloading method over big data for IoT-enabled cloud-edge computing

X Xu, Q Liu, Y Luo, K Peng, X Zhang, S Meng… - Future Generation …, 2019 - Elsevier
The Internet of mobile things is a burgeoning technique that generates, stores and
processes big real-time data to render rich services for mobile users. In order to mitigate …

Coopedge: A decentralized blockchain-based platform for cooperative edge computing

L Yuan, Q He, S Tan, B Li, J Yu, F Chen, H Jin… - Proceedings of the Web …, 2021 - dl.acm.org
Edge computing (EC) has recently emerged as a novel computing paradigm that offers
users low-latency services. Suffering from constrained computing resources due to their …

Edge intelligence: A computational task offloading scheme for dependent IoT application

H Xiao, C Xu, Y Ma, S Yang, L Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …

A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems

M Chen, W Liu, T Wang, S Zhang, A Liu - Knowledge-Based Systems, 2022 - Elsevier
Many previous energy-efficient computation optimization works for mobile edge computing
(MEC) systems have been based on the assumption of synchronous offloading, where all …