[PDF][PDF] Metaheuristic Optimization of Time Series Models for Predicting Networks Traffic

R Alkanhel, ESM El-kenawy… - CMC-COMPUTERS …, 2023 - researchgate.net
Traffic prediction of wireless networks attracted many researchers and practitioners during
the past decades. However, wireless traffic frequently exhibits strong nonlinearities and …

Long-memory processes

J Beran, Y Feng, S Ghosh, R Kulik - Long-Mem. Process, 2013 - Springer
Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …

Statistical analysis of a telephone call center: A queueing-science perspective

L Brown, N Gans, A Mandelbaum, A Sakov… - Journal of the …, 2005 - Taylor & Francis
A call center is a service network in which agents provide telephone-based services.
Customers who seek these services are delayed in tele-queues. This article summarizes an …

The learning and prediction of application-level traffic data in cellular networks

R Li, Z Zhao, J Zheng, C Mei, Y Cai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Traffic learning and prediction is at the heart of the evaluation of the performance of
telecommunications networks and attracts a lot of attention in wired broadband networks …

Intelligent hybrid model to enhance time series models for predicting network traffic

THH Aldhyani, M Alrasheedi, AA Alqarni… - IEEE …, 2020 - ieeexplore.ieee.org
Network traffic analysis and predictions have become vital for monitoring networks. Network
prediction is the process of capturing network traffic and examining it deeply to decide what …

Generalized fractional Gaussian noise and its application to traffic modeling

M Li - Physica A: Statistical Mechanics and its Applications, 2021 - Elsevier
The highlights in this paper are in two aspects. First, we introduce a type of novel fractional
noise termed generalized fractional Gaussian noise (gfGn). Its autocorrelation function …

Method and system for integrated computer networking attack attribution

WT Strayer, CE Jones, IM Castineyra… - US Patent 7,814,546, 2010 - Google Patents
Burch, H., and Cheswick, B. Tracing anonymous packets to their approximate source. In
Proc. USENIX LISA'00 (Dec. 2000). Cappe, O. Moulines, E. Pesquet, JC, Petropulu, A …

Traffic-profile and machine learning based regional data center design and operation for 5G network

U Paul, J Liu, S Troia, O Falowo… - … of Communications and …, 2019 - ieeexplore.ieee.org
Data center in the fifth generation (5G) network will serve as a facilitator to move the wireless
communication industry from a proprietary hardware based approach to a more software …

Using signal processing to analyze wireless data traffic

C Partridge, D Cousins, AW Jackson… - Proceedings of the 1st …, 2002 - dl.acm.org
Experts have long recognized that theoretically it was possible to perform traffic analysis on
encrypted packet streams by analyzing the timing of packet arrivals (or transmissions). We …

A new approach for estimation of statistically matched wavelet

A Gupta, SD Joshi, S Prasad - IEEE transactions on signal …, 2005 - ieeexplore.ieee.org
This paper presents a new approach for the estimation of wavelets that is matched to a given
signal in the statistical sense. Based on this approach, a number of new methods to estimate …