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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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 …
accuracy of single linear and nonlinear prediction models. Therefore, a combination model …
Desynchronized Wake-Up Algorithm for Energy Efficient EPON-Based 5 G Backhaul
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 …
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
Owing to the Economic and Environmental concerns, energy-efficient Time and Wavelength
Division Multiplexed Ethernet Passive Optical Network (TWDM-EPON) has already emerged …
Division Multiplexed Ethernet Passive Optical Network (TWDM-EPON) has already emerged …
SLA-aware protocol design for energy-efficient OLT transmitter in TWDM-EPON
Environmental and economic concerns promote research on designing energy-efficient
Time and Wavelength Division Multiplexed Ethernet Passive Optical Network (TWDM …
Time and Wavelength Division Multiplexed Ethernet Passive Optical Network (TWDM …