A state-of-the-art review of task scheduling for edge computing: A delay-sensitive application perspective

A Avan, A Azim, QH Mahmoud - Electronics, 2023 - mdpi.com
The edge computing paradigm enables mobile devices with limited memory and processing
power to execute delay-sensitive, compute-intensive, and bandwidth-intensive applications …

Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges

O Aouedi, A Sacco, LU Khan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Human Activity Recognition (HAR) has seen remarkable advances in recent years, driven by
the widespread use of wearable devices and the increasing demand for personalized …

TSN-FlexTest: Flexible TSN Measurement Testbed

M Ulbricht, S Senk, HK Nazari, HH Liu… - … on Network and …, 2023 - ieeexplore.ieee.org
In order to provide consistent low-latency communication network services, Time-Sensitive
Networking (TSN) unites a set of standards for time-synchronization, flow control, enhanced …

On Traffic Matrix Estimation via Super-Resolution and Federated Learning

L Pappone, A Sacco, F Esposito - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Network traffic telemetry plays a crucial role in the management of modern networks.
Estimation of the network traffic matrix is a widely recognized problem whose solutions can …

Completing and Predicting Internet Traffic Matrices Using Adversarial Autoencoders and Hidden Markov Models

A Sacco, F Esposito, G Marchetto - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Internet traffic matrices are used nowadays for a variety of network management operations,
from planning to repairing. Despite years of research on the topic, obtaining a global view of …

Finite-time stability and stabilisation of time-varying stochastic systems with multiplicative noise and time-delays

C Tan, Q Zhang, Z Zhang, H Sun - International Journal of Systems …, 2024 - Taylor & Francis
This article investigates the problem of finite-time stability and stabilisation (FTSS) in time-
varying stochastic systems with multiplicative noise and time-delays. To simplify research …

Hide & seek: Traffic matrix completion and inference using hidden information

A Sacco, F Esposito, G Marchetto - 2023 IEEE 20th Consumer …, 2023 - ieeexplore.ieee.org
Traffic matrices are used for many network management operations, from planning to
repairing. Despite years of research on the topic, their estimation and inference on the …

RLVNA: a Platform for Experimenting with Virtual Networks Adaptations over Public Testbeds

A Angi, A Sacco, E Alberti, G Marchetto… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Network emulators and simulation environments traditionally support computer networking
and distributed system research. The continued use of multiple approaches highlights both …

Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm

B Wang - Metalurgija, 2024 - hrcak.srce.hr
Sažetak In order to improve the prediction accuracy of the roughing force prediction model, a
cuckoo-random forest algorithm is proposed in this paper to quickly solve the set value of …

[PDF][PDF] Bilevel Programming Model of Discrete Traffic Network Based on Machine Learning Optimization Hybrid Algorithm

J Li - 2022 - scholar-press.com
With the rise of living standards, more and more people choose to travel by car, which
increases the pressure on the urban traffic network (TN). The TN needs to be re planned and …