Forecasting network traffic: A survey and tutorial with open-source comparative evaluation

GO Ferreira, C Ravazzi, F Dabbene… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

A survey on traffic prediction techniques using artificial intelligence for communication networks

A Chen, J Law, M Aibin - Telecom, 2021 - mdpi.com
Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …

Optimization of IoT circuit for flexible optical network system with high speed utilization

S Pandiaraj, R Krishnamoorthy… - Optical and Quantum …, 2023 - Springer
The term flexible optical network (FON) for high-speed utility with Internet of Things (IoT)
assistance refers to a kind of network infrastructure that combines the advantages of FON …

Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning

A Knapińska, P Lechowicz, W Węgier… - Applied Soft Computing, 2022 - Elsevier
With the development of networking technologies, global Internet traffic is constantly
increasing. Moreover, various traffic types associated with a variety of network services and …

XAI-guided optimization of a multilayer network regression model

K Duszyńska, P Polski, M Włosek… - 2024 IFIP …, 2024 - ieeexplore.ieee.org
The recent technological advances create increased network capacity demand, highlighting
the need for new network optimization methods. However, the proposed solutions require …

Mobile network traffic analysis based on probability-informed machine learning approach

A Gorshenin, A Kozlovskaya, S Gorbunov… - Computer Networks, 2024 - Elsevier
The paper proposes an approach to the joint use of statistical and machine learning (ML)
models to solve the problems of the precise reconstruction of historical events, real-time …

Short-Term Network Traffic Prediction with Multilayer Perceptron

A Ganowicz, B Starosta, A Knapińska… - 2022 6th SLAAI …, 2022 - ieeexplore.ieee.org
The constantly increasing internet traffic and rising network requirements trigger fast
development and implementation of new networking architectures and technologies …

Machine Learning Assisted Provisioning of Time-Varying Traffic in Translucent Optical Networks

A Włodarczyk, A Knapińska, P Lechowicz… - IEEE …, 2024 - ieeexplore.ieee.org
The overall network volume in backbone optical networks is constantly growing, composed
of many smaller network services with increasing trends and various seasonality. Due to the …

2-D fragmentation-aware RMSA based on the relative flexibility of advance reservation requests in elastic optical networks

J Zhao, Y Zhou, N Feng, Y Chen, J Zhang… - Optical Fiber …, 2023 - Elsevier
With the advantages of fine granularity spectrum allocation (SA) and large capacity, elastic
optical networks (EONs) are considered as the most promising development direction of …

Analiza metoda predviđanja prometa u optičkoj mreži

A Brdar - 2024 - zir.nsk.hr
Sažetak Optička mreža je podatkovna komunikacijska mreža koja koristi tehnologiju
svjetlovodnog vlakna za prijenos podataka, a karakterizira ju visoka propusnost i velika …