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 of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Computing systems for autonomous driving: State of the art and challenges

L Liu, S Lu, R Zhong, B Wu, Y Yao… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

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 …

Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

A survey on computation offloading modeling for edge computing

H Lin, S Zeadally, Z Chen, H Labiod, L Wang - Journal of Network and …, 2020 - Elsevier
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

Deep reinforcement learning for collaborative edge computing in vehicular networks

M Li, J Gao, L Zhao, X Shen - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …

A survey on adaptive 360 video streaming: Solutions, challenges and opportunities

A Yaqoob, T Bi, GM Muntean - IEEE Communications Surveys …, 2020 - ieeexplore.ieee.org
Omnidirectional or 360° video is increasingly being used, mostly due to the latest
advancements in immersive Virtual Reality (VR) technology. However, its wide adoption is …

[HTML][HTML] A review of optimization methods for computation offloading in edge computing networks

K Sadatdiynov, L Cui, L Zhang, JZ Huang… - Digital Communications …, 2023 - Elsevier
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …

TCDA: Truthful combinatorial double auctions for mobile edge computing in industrial Internet of Things

L Ma, X Wang, X Wang, L Wang, Y Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive
computing services for industrial Internet of Things (IIoT) applications. How to guarantee …