LMM: latency-aware micro-service mashup in mobile edge computing environment
Abstract Internet of Things (IoT) applications introduce a set of stringent requirements (eg,
low latency, high bandwidth) to network and computing paradigm. 5G networks are faced …
low latency, high bandwidth) to network and computing paradigm. 5G networks are faced …
Management of digital twin-driven IoT using federated learning
Internet of Things (IoT), Digital Twin (DT), and Federated Learning (FL) are redefining the
future vision of globalization. While IoT is about sensing data from physical devices, DTs …
future vision of globalization. While IoT is about sensing data from physical devices, DTs …
Profit maximization for service placement and request assignment in edge computing via deep reinforcement learning
With the integration of Mobile Edge Computing (MEC) and Network Function Virtualization
(NFV), service providers are able to provide low-latency services to mobile users for profit. In …
(NFV), service providers are able to provide low-latency services to mobile users for profit. In …
An introduction to digital twin standards
Recently, both academia and industry have shown increasing interest in unlocking the
potential applications of digital twin. As an emerging technology, digital twin builds a virtual …
potential applications of digital twin. As an emerging technology, digital twin builds a virtual …
Wait for fresh data? Digital twin empowered IoT services in edge computing
The Mobile Edge Computing (MEC) paradigm gives impetus to the vigorous advancement of
Internet of Things (IoT), through provisioning low-latency computing services at network …
Internet of Things (IoT), through provisioning low-latency computing services at network …
Delay-aware microservice coordination in mobile edge computing: A reinforcement learning approach
As an emerging service architecture, microservice enables decomposition of a monolithic
web service into a set of independent lightweight services which can be executed …
web service into a set of independent lightweight services which can be executed …
[HTML][HTML] CoTwin: Collaborative improvement of digital twins enabled by blockchain
M García-Valls, AM Chirivella-Ciruelos - Future Generation Computer …, 2024 - Elsevier
Integrating digital twin technology in Cyber–Physical Systems and Internet of Things can
boost their intelligence. Given the current maturity of digital twin technology (yet in progress) …
boost their intelligence. Given the current maturity of digital twin technology (yet in progress) …
Collective reinforcement learning based resource allocation for digital twin service in 6G networks
Z Huang, D Li, J Cai, H Lu - Journal of Network and Computer Applications, 2023 - Elsevier
Abstract The 6th generation (6G) mobile communications technology will realize the
interconnection of humans, machines, things as well as virtual space. The development of …
interconnection of humans, machines, things as well as virtual space. The development of …
Hybrid learning based service migration for cost minimization with deadlines in multi-user mobile edge computing systems
H Yu, Q Zhang - Computer Networks, 2024 - Elsevier
Mobile edge computing, a new computing model, aims to reduce network latency and
improve user experience by placing computing resources closer to the users. However …
improve user experience by placing computing resources closer to the users. However …
Communication-efficient federated learning for digital twin edge networks in industrial IoT
Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of artificial intelligence and 5G paradigm, opens up new possibilities
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …