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 …

Optimal placement of social digital twins in edge IoT networks

O Chukhno, N Chukhno, G Araniti, C Campolo, A Iera… - Sensors, 2020 - mdpi.com
In next-generation Internet of Things (IoT) deployments, every object such as a wearable
device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a …

Optimized placement of scalable IoT services in edge computing

AM Maia, Y Ghamri-Doudane, D Vieira… - 2019 IFIP/IEEE …, 2019 - ieeexplore.ieee.org
Edge computing is a promising concept to enable the Internet of Things (IoT) vision,
especially for supporting time-sensitive applications. A challenge in this topic is the service …

Preference-aware edge server placement in the internet of things

Y Chen, Y Lin, Z Zheng, P Yu, J Shen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
While it is well understood that edge computing can significantly facilitate IoT-related
applications by deploying edge servers close to IoT devices, it also faces many challenges …

Blockchain-based cloudlet management for multimedia workflow in mobile cloud computing

X Xu, Y Chen, Y Yuan, T Huang, X Zhang… - Multimedia Tools and …, 2020 - Springer
For the issue of users' sensibility to the QoS (Quality of Service) of multimedia applications,
cloudlet has emerged as a novel paradigm which provides closer computing resources to …

Joint hierarchical placement and configuration of edge servers in C-V2X

P Hou, B Li, Z Wang, H Ding - Ad Hoc Networks, 2022 - Elsevier
To accommodate the high mobility and large-scale interconnection requirements of the
Internet of Vehicles (IoVs) and to realize low-latency and high-reliability communication in …

Dependency-aware vehicular task scheduling policy for tracking service VEC networks

C Li, F Liu, B Wang, CLP Chen, X Tang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this paper, we study a tracking service vehicular edge computing (VEC) network that
provides computation offloading service for Intelligent vehicles, where computational tasks …

Federated learning framework for mobile edge computing networks

R Fantacci, B Picano - CAAI Transactions on Intelligence …, 2020 - Wiley Online Library
The continuous growth of smart devices needing processing has led to moving storage and
computation from cloud to the network edges, giving rise to the edge computing paradigm …

A deep learning approach for mobility-aware and energy-efficient resource allocation in MEC

Z Ali, S Khaf, ZH Abbas, G Abbas, F Muhammad… - IEEE …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has emerged as an alternative to cloud computing to meet
the latency and Quality-of-Service (QoS) requirements of mobile devices. In this paper, we …

Popularity-based data placement with load balancing in edge computing

X Wei, Y Wang - IEEE Transactions on Cloud Computing, 2021 - ieeexplore.ieee.org
In recent years, edge computing has become an increasingly popular computing paradigm
to enable real-time data processing and mobile intelligence. Edge computing allows …