Edge computing: Classification, applications, and challenges

G Kaur, RS Batth - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Edge computing is a relatively recent phenomenon in the computing world, which takes
cloud computing services closer to the end user and is distinguished by fast processing and …

Challenge: COSMOS: A city-scale programmable testbed for experimentation with advanced wireless

D Raychaudhuri, I Seskar, G Zussman… - Proceedings of the 26th …, 2020 - dl.acm.org
This paper focuses on COSMOS-Cloud enhanced Open Software defined MObile wireless
testbed for city-Scale deployment. The COSMOS testbed is being deployed in West Harlem …

Multi-stage hybrid federated learning over large-scale D2D-enabled fog networks

S Hosseinalipour, SS Azam, CG Brinton… - … ACM transactions on …, 2022 - ieeexplore.ieee.org
Federated learning has generated significant interest, with nearly all works focused on a
“star” topology where nodes/devices are each connected to a central server. We migrate …

A three layered decentralized IoT biometric architecture for city lockdown during COVID-19 outbreak

M Kolhar, F Al-Turjman, A Alameen… - Ieee Access, 2020 - ieeexplore.ieee.org
In this article, we have built a prototype of a decentralized IoT based biometric face detection
framework for cities that are under lockdown during COVID-19 outbreaks. To impose …

Cloud continuum testbeds and next-generation ICTs: Trends, challenges, and perspectives

F Casino, P Lopez-Iturri, C Patsakis - Computer Science Review, 2025 - Elsevier
As society's dependence on Information and Communication Technologies (ICTs) grows,
providing efficient and resourceful services entails many complexities that require, among …

Adaptive computing scheduling for edge-assisted autonomous driving

M Li, J Gao, L Zhao, X Shen - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
This paper investigates computing resource scheduling for real-time applications in
autonomous driving, such as localization and obstacle avoidance. In our considered …

Nimbus: Towards latency-energy efficient task offloading for ar services

V Cozzolino, L Tonetto, N Mohan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications
depends on their smoothness and immersiveness. Modern AR applications applying …

Sear: Scaling experiences in multi-user augmented reality

W Zhang, B Han, P Hui - IEEE Transactions on Visualization …, 2022 - ieeexplore.ieee.org
In this paper, we present the design, implementation, and evaluation of SEAR, a
collaborative framework for Scaling Experiences in multi-user Augmented Reality (AR). Most …

A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: Architectural overview and key …

P Trakadas, X Masip-Bruin, FM Facca, ST Spantideas… - Sensors, 2022 - mdpi.com
Future data-intensive intelligent applications are required to traverse across the cloud-to-
edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside …

Latency analysis of ros2 multi-node systems

T Kronauer, J Pohlmann, M Matthé… - … and integration for …, 2021 - ieeexplore.ieee.org
The Robot Operating System 2 (ROS2) targets distributed real-time systems and is widely
used in the robotics community. Especially in these systems, latency in data processing and …