Chaotic characteristic analysis of network traffic time series at different time scales

Z Tian - Chaos, Solitons & Fractals, 2020 - Elsevier
Characteristic analysis of network traffic time series is very meaningful for network traffic
prediction. The dynamic behavior of network traffic time series is an external manifestation …

A game-theoretic approach for non-cooperative load balancing among competing cloudlets

S Mondal, G Das, E Wong - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
To deliver high performance and reliability to the mobile users in accessing mobile cloud
services, the major interest is currently given to the integration of centralized cloud …

Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks

M Di Mauro, G Galatro, F Postiglione… - … on Network and …, 2023 - ieeexplore.ieee.org
Predicting the behavior of real-time traffic (eg, VoIP) in mobility scenarios could help the
operators to better plan their network infrastructures and to optimize the allocation of …

Network traffic prediction method based on autoregressive integrated moving average and adaptive Volterra filter

Z Tian, F Li - International Journal of Communication Systems, 2021 - Wiley Online Library
In the process of controlling network congestion and network management, how to
accurately predict network traffic is very important. A network traffic prediction method based …

Design of energy-efficient EPON: a novel protocol proposal and its performance analysis

S Dutta, G Das - IEEE Transactions on Green Communications …, 2019 - ieeexplore.ieee.org
Economical and environmental concerns necessitate network engineers to focus on energy-
efficient access network design. The optical network units (ONUs) are predominate sources …

[HTML][HTML] Hybrid learning strategies for multivariate time series forecasting of network quality metrics

M Di Mauro, G Galatro, F Postiglione, W Song… - Computer Networks, 2024 - Elsevier
This work addresses the challenge of forecasting temporal metrics that characterize cellular
traffic behavior. The ultimate goal is to provide network operators with a valuable tool for …

A new method of network traffic prediction based on combination model

G Li, Z Tian - Peer-to-Peer Networking and Applications, 2024 - Springer
Network traffic has time-varying and nonlinear characteristics, leading to relatively low
accuracy of single linear and nonlinear prediction models. Therefore, a combination model …

Desynchronized Wake-Up Algorithm for Energy Efficient EPON-Based 5 G Backhaul

S Dutta, D Roy, G Das - Journal of Lightwave Technology, 2024 - ieeexplore.ieee.org
This paper focuses on enhancing the energy savings of EPON-based backhaul for 5 G and
beyond networks. Here, we introduce a novel technique of the desynchronization of wake …

Protocol design for energy efficient OLT in TWDM-EPON supporting diverse delay bounds

S Dutta, D Roy, G Das - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
Owing to the Economic and Environmental concerns, energy-efficient Time and Wavelength
Division Multiplexed Ethernet Passive Optical Network (TWDM-EPON) has already emerged …

SLA-aware protocol design for energy-efficient OLT transmitter in TWDM-EPON

S Dutta, D Roy, G Das - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
Environmental and economic concerns promote research on designing energy-efficient
Time and Wavelength Division Multiplexed Ethernet Passive Optical Network (TWDM …