Learning for Exception: Dynamic Service Caching in 5G-Enabled MECs with Bursty User Demands. Abstract: Mobile edge computing (MEC) is envisioned as an enabling technology for extreme low-latency services in the next generation 5G access networks. In a 5G-enabled MEC, computing resources are attached to base stations.
In this paper, we investigate the problem of dynamic service caching and task offloading in a 5G-enabled MEC with user demand and processing delay ...
... Generally, services requested by the edge device served by more than one helper can be cached in these helpers separately to minimise the service delay.
Understanding the patterns of service demands plays a decisive role in the performance of dynamic service placement solutions, which is challenging due to ...
In this paper, we investigate the problem of dynamic service caching and task offloading in an MEC network, by adopting the online learning technique.
In this paper, we investigate the problem of dynamic service caching and task offloading in an MEC network, by adopting the online learning technique to harness ...
Sep 19, 2024 · In this paper, we investigate the problem of dynamic service caching and task offloading in an MEC network, by adopting the online learning technique.
Xu, Learning for exception: Dynamic service caching in 5G-enabled MECs with bursty user demands; Xiao, Security in mobile edge caching with reinforcement ...
Learning for exception: Dynamic service caching in 5G-enabled MECs with bursty user demands. Z Xu, S Wang, S Liu, H Dai, Q Xia, W Liang, G Wu. 2020 IEEE 40th ...
Jun 27, 2024 · Learning for Exception: Dynamic Service Caching in 5G-Enabled MECs with Bursty User Demands. Conference Paper. Nov 2020. Shengnan Wang ...