OL-MEDC: An online approach for cost-effective data caching in mobile edge computing systems

X Xia, F Chen, Q He, G Cui, J Grundy… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has emerged to overcome the inability of cloud computing to
offer low latency services. It allows popular data to be cached on edge servers deployed …

CoPUP: Content popularity and user preferences aware content caching framework in mobile edge computing

M Yasir, SK uz Zaman, T Maqsood, F Rehman… - Cluster …, 2023 - Springer
Mobile edge computing (MEC) enables intelligent content caching at the network edge to
reduce traffic and enhance content delivery efficiency. In MEC architecture, popular content …

Heterogeneous information network-based content caching in the internet of vehicles

Y Zhang, R Wang, MS Hossain… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
With the rapid development of the Internet of Vehicles (IoV), the data in the network have
become more complicated, and user demand for popular content has been growing. The …

Design guidelines for cooperative UAV-supported services and applications

I Al Ridhawi, O Bouachir, M Aloqaily… - ACM Computing Surveys …, 2021 - dl.acm.org
Internet of Things (IoT) systems have advanced greatly in the past few years, especially with
the support of Machine Learning (ML) and Artificial Intelligence (AI) solutions. Numerous AI …

A novel deep Q-learning-based air-assisted vehicular caching scheme for safe autonomous driving

J Shi, L Zhao, X Wang, W Zhao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The safety driving-related content demands of vehicle users increase rapidly, especially with
the development of autonomous driving. It is significantly necessary to obtain the safety …

A computing offloading resource allocation scheme using deep reinforcement learning in mobile edge computing systems

X Li - Journal of Grid Computing, 2021 - Springer
Aiming at the problems of increased latency and energy consumption and decreased
service quality caused by current vehicle networks, this paper proposes a computing …

Hfdrl: An intelligent dynamic cooperate cashing method based on hierarchical federated deep reinforcement learning in edge-enabled iot

F Majidi, MR Khayyambashi… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has significantly increased the number of terminals and network
traffic. It is necessary to exploit the full capacity of the network and optimize content transfer …

Fusion of cognitive wireless networks and edge computing

K Gai, K Xu, Z Lu, M Qiu, L Zhu - IEEE Wireless …, 2019 - ieeexplore.ieee.org
With the expeditious maturation of IoT, intelligent manufacturing is one of its derivatives as a
beneficiary and consequence of the connected environment. No doubt this trend is changing …

Delay-aware caching in internet-of-vehicles networks

X Huang, K Xu, Q Chen, J Zhang - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the emergence of a large number of computational resource-intensive applications and
various content delivery services, there is an explosion of data growth in the Internet of …

Computation offloading and service caching for mobile edge computing under personalized service preference

SW Ko, SJ Kim, H Jung, SW Choi - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as an attractive solution by executing
computation-intensive services at a powerful edge server instead of mobiles. Two types of …