Resource scheduling in edge computing: A survey
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 …
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 …
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)
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 …
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
Deep reinforcement learning for task offloading in mobile edge computing systems
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
traffic by pushing cloud functionalities to network edge. Equipped with storage and …