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 …

Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility

F Spinelli, V Mancuso - IEEE Communications Surveys & …, 2020 - ieeexplore.ieee.org
The increasing number of heterogeneous devices connected to the Internet, together with
tight 5G requirements have generated new challenges for designing network infrastructures …

The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)

F Firouzi, B Farahani, A Marinšek - Information Systems, 2022 - Elsevier
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

Deep reinforcement learning for task offloading in mobile edge computing systems

M Tang, VWS Wong - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
In mobile edge computing systems, an edge node may have a high load when a large
number of mobile devices offload their tasks to it. Those offloaded tasks may experience …

Edge caching and computation management for real-time internet of vehicles: An online and distributed approach

J Zhao, X Sun, Q Li, X Ma - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is expected to be an effective solution to meet the ultra-
low delay requirements of many emerging Internet of Vehicles (IoV) services by shifting the …

Service placement and request scheduling for data-intensive applications in edge clouds

V Farhadi, F Mehmeti, T He, TF La Porta… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
Mobile edge computing provides the opportunity for wireless users to exploit the power of
cloud computing without a large communication delay. To serve data-intensive applications …

Joint optimization of service caching placement and computation offloading in mobile edge computing systems

S Bi, L Huang, YJA Zhang - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In mobile edge computing (MEC) systems, edge service caching refers to pre-storing the
necessary programs for executing computation tasks at MEC servers. Service caching …

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 …

Fmore: An incentive scheme of multi-dimensional auction for federated learning in mec

R Zeng, S Zhang, J Wang, X Chu - 2020 IEEE 40th …, 2020 - ieeexplore.ieee.org
Promising federated learning coupled with Mobile Edge Computing (MEC) is considered as
one of the most promising solutions to the AI-driven service provision. Plenty of studies focus …

Cooperative service caching and workload scheduling in mobile edge computing

X Ma, A Zhou, S Zhang, S Wang - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
Mobile edge computing is beneficial for reducing service response time and core network
traffic by pushing cloud functionalities to network edge. Equipped with storage and …