Dima: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning
Abstract The ubiquitous Internet of Things (IoTs) devices spawn growing mobile services of
applications with computationally-intensive and latency-sensitive features, which increases …
applications with computationally-intensive and latency-sensitive features, which increases …
Cooperative edge caching: A multi-agent deep learning based approach
Ubiquitous Internet of Things (IoT) devices have fueled plenty of innovations in the emerging
network paradigms. Among them, IoT edge caching has emerged as a promising technique …
network paradigms. Among them, IoT edge caching has emerged as a promising technique …
Joint caching and computing service placement for edge-enabled IoT based on deep reinforcement learning
Y Chen, Y Sun, B Yang, T Taleb - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
By placing edge service functions in proximity to IoT facilities, edge computing can satisfy
various IoT applications' resource and latency requirements. Sensing-data-driven IoT …
various IoT applications' resource and latency requirements. Sensing-data-driven IoT …
Adaptive request scheduling and service caching for MEC-assisted IoT networks: An online learning approach
D Ren, X Gui, K Zhang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is a new paradigm to meet the demand of resource-
hungry and latency-sensitive services by enabling the placement of services and execution …
hungry and latency-sensitive services by enabling the placement of services and execution …
Multi-agent reinforcement learning based cooperative content caching for mobile edge networks
To address the drastic growth of data traffic dominated by streaming of video-on-demand
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …
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 …
traffic. It is necessary to exploit the full capacity of the network and optimize content transfer …
Federated deep reinforcement learning for Internet of Things with decentralized cooperative edge caching
Edge caching is an emerging technology for addressing massive content access in mobile
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
Cooperative task offloading and service caching for digital twin edge networks: A graph attention multi-agent reinforcement learning approach
Z Yao, S Xia, Y Li, G Wu - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …
the user equipments (UEs), thereby reducing the service delay of many emerging …
Attention-weighted federated deep reinforcement learning for device-to-device assisted heterogeneous collaborative edge caching
In order to meet the growing demands for multimedia service access and release the
pressure of the core network, edge caching and device-to-device (D2D) communication …
pressure of the core network, edge caching and device-to-device (D2D) communication …
Learning-based cooperative content caching policy for mobile edge computing
To address the drastic increase of multimedia traffic dominated by streaming videos, mobile
edge computing (MEC) can be exploited to accelerate the development of intelligent …
edge computing (MEC) can be exploited to accelerate the development of intelligent …
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