Forecasting network traffic: A survey and tutorial with open-source comparative evaluation
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 …
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 …
networks in order to enhance network performance. Communication networks, both wired …
Optimization of IoT circuit for flexible optical network system with high speed utilization
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 …
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
With the development of networking technologies, global Internet traffic is constantly
increasing. Moreover, various traffic types associated with a variety of network services and …
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 …
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 …
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 …
development and implementation of new networking architectures and technologies …
Machine Learning Assisted Provisioning of Time-Varying Traffic in Translucent Optical Networks
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 …
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 …
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 …
svjetlovodnog vlakna za prijenos podataka, a karakterizira ju visoka propusnost i velika …