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 …
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 …
Intelligent offloading for multi-access edge computing: A new actor-critic approach
KH Liu, W Liao - ICC 2020-2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is promising to handle computation-intensive and
latency-sensitive applications for 5G and beyond. Users can benefit from task offloading via …
latency-sensitive applications for 5G and beyond. Users can benefit from task offloading via …
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 …
Joint resource allocation and cache placement for location-aware multi-user mobile-edge computing
With the growing demand for latency-critical and computation-intensive Internet of Things
(IoT) services, the IoT-oriented network architecture, mobile-edge computing (MEC), has …
(IoT) services, the IoT-oriented network architecture, mobile-edge computing (MEC), has …
Cache-aided MEC for IoT: Resource allocation using deep graph reinforcement learning
With the growing demand for latency-sensitive and compute-intensive services in the
Internet of Things (IoT), multiaccess edge computing (MEC)-enabled IoT is envisioned as a …
Internet of Things (IoT), multiaccess edge computing (MEC)-enabled IoT is envisioned as a …
Service-oriented energy-latency tradeoff for IoT task partial offloading in MEC-enhanced multi-RAT networks
The development of the 5G network is envisioned to offer various types of services like
virtual reality/augmented reality and autonomous vehicles applications with low-latency …
virtual reality/augmented reality and autonomous vehicles applications with low-latency …
Toward reinforcement-learning-based service deployment of 5G mobile edge computing with request-aware scheduling
5G wireless network technology will not only significantly increase bandwidth but also
introduce new features such as mMTC and URLLC. However, high request latency will …
introduce new features such as mMTC and URLLC. However, high request latency will …
Joint computing, pushing, and caching optimization for mobile edge computing networks via soft actor-critic learning
Mobile-edge computing (MEC) networks bring computing and storage capabilities closer to
edge devices, which reduces latency and improves network performance. However, to …
edge devices, which reduces latency and improves network performance. However, to …
Application-aware resource allocation and data management for MEC-assisted IoT service providers
S Bolettieri, R Bruno, E Mingozzi - Journal of Network and Computer …, 2021 - Elsevier
To support the growing demand for data-intensive and low-latency IoT applications, Multi-
Access Edge Computing (MEC) is emerging as an effective edge-computing approach …
Access Edge Computing (MEC) is emerging as an effective edge-computing approach …