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 …

Revolutionizing Intelligent Transportation Systems with Cellular Vehicle-to-Everything (C-V2X) technology: Current trends, use cases, emerging technologies …

A Rammohan - Vehicular Communications, 2023 - Elsevier
Abstract The emergence of Cellular Vehicle-to-Everything communication (C-V2X) has
brought significant advancements in the field of Intelligent Transportation Systems. This …

Joint optimization of computing offloading and service caching in edge computing-based smart grid

H Zhou, Z Zhang, D Li, Z Su - IEEE Transactions on Cloud …, 2022 - ieeexplore.ieee.org
With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in
the number of Smart Devices (SDs), the data generated by SDs has exponentially …

Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing

W Shu, K Cai, NN Xiong - Future Generation Computer Systems, 2021 - Elsevier
Virtualization technology provides a new way to improve resource utilization and cloud
service throughput. However, the randomness of task arrival, tight coupling between …

Multimodal semantic communication accelerated bidirectional caching for 6G MEC

C Wang, X Yu, L Xu, Z Wang, W Wang - Future Generation Computer …, 2023 - Elsevier
Abstract Mobile Edge Computing (MEC) enables immersive XR with multimodal data by
coordinating communication, computation, and caching (3C) resources upcoming 6G. The …

Collaborative data caching and computation offloading for multi-service mobile edge computing

H Feng, S Guo, L Yang, Y Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) can use wireless access network (RAN) to provide the
services required by user's information technology (IT) and cloud computing functions …

Service caching based aerial cooperative computing and resource allocation in multi-UAV enabled MEC systems

G Zheng, C Xu, M Wen, X Zhao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Service caching refers to caching the necessary programs or/and the related databases for
performing computational tasks at edge servers, which has been considered to save both …

Energy-efficient resource allocation for blockchain-enabled industrial Internet of Things with deep reinforcement learning

L Yang, M Li, P Si, R Yang, E Sun… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) has emerged with the developments of various
communication technologies. In order to guarantee the security and privacy of massive IIoT …

Deep reinforcement learning (DRL)-based device-to-device (D2D) caching with blockchain and mobile edge computing

R Zhang, FR Yu, J Liu, T Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Device-to-Device (D2D) caching assists Mobile Edge Computing (MEC) based caching in
offloading inter-domain traffic by sharing cached items with nearby users, while its …

Environment-aware AUV trajectory design and resource management for multi-tier underwater computing

X Hou, J Wang, T Bai, Y Deng, Y Ren… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
The Internet of underwater things (IoUT) is envisioned to be an essential part of maritime
activities. Given the IoUT devices' wide-area distribution and constrained transmit power …