Reducing offloading latency for digital twin edge networks in 6G

W Sun, H Zhang, R Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
6G is envisioned to empower wireless communication and computation through the
digitalization and connectivity of everything, by establishing a digital representation of the …

Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

Joint wireless resource and computation offloading optimization for energy efficient internet of vehicles

D Pliatsios, P Sarigiannidis, TD Lagkas… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral
component of beyond-fifth-generation and sixth-generation mobile networks. However, the …

What the fog? edge computing revisited: Promises, applications and future challenges

J Gedeon, F Brandherm, R Egert, T Grube… - IEEE …, 2019 - ieeexplore.ieee.org
Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud computing …

Proactive microservice placement and migration for mobile edge computing

K Ray, A Banerjee, NC Narendra - 2020 IEEE/ACM Symposium …, 2020 - ieeexplore.ieee.org
In recent times, Mobile Edge Computing (MEC) has emerged as a new paradigm allowing
low-latency access to services deployed on edge nodes offering computation, storage and …

Mobile-kube: Mobility-aware and energy-efficient service orchestration on kubernetes edge servers

S Ghafouri, A Karami, DB Bakhtiarvan… - 2022 IEEE/ACM 15th …, 2022 - ieeexplore.ieee.org
In recent years Kubernetes has become the de facto standard in the realm of service
orchestration. Despite its great benefits, there are still numerous challenges to make it …

Distributed edge system orchestration for web-based mobile augmented reality services

P Ren, L Liu, X Qiao, J Chen - IEEE Transactions on Services …, 2022 - ieeexplore.ieee.org
The emergence of edge computing and 5G networks has fueled the growth of mobile Web
AR. Although efforts have been made to improve the edge system efficiency for Web AR …

Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism

LL Rui, M Zhang, Z Gao, X Qiu, Z Wang… - Journal of Network and …, 2021 - Elsevier
With the development of the internet of things (IoT), the concept of an edge network has
been gradually expanding to other fields including internet of vehicles, mobile …

Infusing autopoietic and cognitive behaviors into digital automata to improve their sentience, resilience, and intelligence

R Mikkilineni - Big Data and Cognitive Computing, 2022 - mdpi.com
All living beings use autopoiesis and cognition to manage their “life” processes from birth
through death. Autopoiesis enables them to use the specification in their genomes to …

Heuristic and reinforcement learning algorithms for dynamic service placement on mobile edge cloud

D Garg, NC Narendra, S Tesfatsion - arXiv preprint arXiv:2111.00240, 2021 - arxiv.org
Edge computing hosts applications close to the end users and enables low-latency real-time
applications. Modern applications inturn have adopted the microservices architecture which …