[HTML][HTML] Distributed application execution in fog computing: A taxonomy, challenges and future directions

M Ashraf, M Shiraz, A Abbasi, S Albahli - Journal of King Saud University …, 2022 - Elsevier
With tremendous advancements in smart phone industry and IoT devices, edge computing
has emerged to provide computational services at edge of the network. As a result …

Placement of social digital twins at the edge for beyond 5G IoT networks

O Chukhno, N Chukhno, G Araniti… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
As the fifth-generation (5G) and beyond (5G+/6G) networks move forward, and a wide
variety of new advanced Internet of Things (IoT) applications are offered, effective …

DRL connects Lyapunov in delay and stability optimization for offloading proactive sensing tasks of RSUs

W Zhao, K Shi, Z Liu, X Wu, X Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The integration of Roadside Units (RSUs) is vital for the development of autonomous driving
technologies. Challenges arise from sinking computing capabilities into RSUs and vehicles …

[HTML][HTML] Causalrca: Causal inference based precise fine-grained root cause localization for microservice applications

R Xin, P Chen, Z Zhao - Journal of Systems and Software, 2023 - Elsevier
Effectively localizing root causes of performance anomalies is crucial to enabling the rapid
recovery and loss mitigation of microservice applications in the cloud. Depending on the …

Traffic prediction-assisted federated deep reinforcement learning for service migration in digital twins-enabled MEC networks

X Chen, G Han, Y Bi, Z Yuan, MK Marina… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
In Mobile Edge Computing (MEC) networks, dynamic service migration can support service
continuity and reduce user-perceived delay. However, service migration in MEC networks …

Distributed computation offloading and trajectory optimization in multi-UAV-enabled edge computing

X Chen, Y Bi, G Han, D Zhang, M Liu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) technology has expanded network space by interconnected
devices, which has been widely used in various fields, such as environmental monitoring …

Delay-Aware Optimization of Fine-Grained Microservice Deployment and Routing in Edge via Reinforcement Learning

K Peng, J He, J Guo, Y Liu, J He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Microservices have exerted a profound impact on the development of internet applications.
Meanwhile, the growing number of mobile terminal user requests has made the …

Deep reinforcement learning-based task scheduling and resource allocation for NOMA-MEC in Industrial Internet of Things

L Lin, W Zhou, Z Yang, J Liu - Peer-to-Peer Networking and Applications, 2023 - Springer
Abstract Mobile Edge Computing (MEC) and Non-Orthogonal Multiple Access (NOMA) have
been treated as promising technologies to process the delay-sensitive tasks in the Industrial …

Distributed resource distribution and offloading for resource-agnostic microservices in industrial iot

A Samanta, TG Nguyen, T Ha… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to increase in real-time mobile applications and Industrial Internet-of-Things (IIoT)
devices, the edge computing paradigm provides a systematic and eccentric platform for real …

Resource allocation with edge-cloud collaborative traffic prediction in integrated radio and optical networks

B Bao, H Yang, Q Yao, L Guan, J Zhang… - IEEE Access, 2023 - ieeexplore.ieee.org
By integrating communications in different domains, integrated radio and optical networks
can serve a wider range of applications and services. Integrated radio and optical network …