The Problem of Predicting the Data Transmitting Delay in the Network with the Self-Similar Nature of Traffic, for the Purpose of improving the Real-Time Conferencing

被引：0

作者：

Sychev, I. ^{[1
]}

Polze, A. ^{[1
]}

Gazzaev, D. D. ^{[2
]}

Kordecki, C. ^{[3
]}

Sycheva, I. A. ^{[2
]}

机构：

[1] Hasso Plattner Inst, Room C 1-10,2 Prof Dr Helmert Str, D-14482 Potsdam, Germany

[2] Amur State Univ, Blagoveshchensk 675027, Russia

[3] Lab Prozess & System tech FB VI, D-13353 Berlin, Germany

来源：

NOVEL ALGORITHMS AND TECHNIQUES IN TELECOMMUNICATIONS, AUTOMATION AND INDUSTRIAL ELECTRONICS | 2008年

关键词：

D O I：

10.1007/978-1-4020-8737-0_68

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This publication gives new results in applying the theoretical knowledge based on the Laplace-Stiltes transform. The main purpose is to predict packets transmitting delay, in a network based on the Internet technology. A new method for modeling the real-time networking process is designed.

引用

页码：384 / +

页数：2

共 50 条

[41] Real-Time Delay Estimation Model for Mixed Traffic Conditions Using RFID Detections as Data Source
Hafiz, A. N. Muhammed
Anusha, S. P.
TRANSPORTATION IN DEVELOPING ECONOMIES, 2022, 8 (02)
[42] Real-Time Delay Estimation Model for Mixed Traffic Conditions Using RFID Detections as Data Source
A. N. Muhammed Hafiz
S. P. Anusha
Transportation in Developing Economies, 2022, 8
[43] Predicting Crash Frequency for Urban Expressway considering Collision Types Using Real-Time Traffic Data
Zhang, Hui
Li, Siyao
Wu, Chaozhong
Zhang, Qi
Wang, Yafen
JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020
[44] Real-time Analysis of NetFlow Data for Generating Network Traffic Statistics using Apache Spark
Cermak, Milan
Jirsik, Tomas
Lastovicka, Martin
NOMS 2016 - 2016 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, 2016, : 1019 - 1020
[45] The Cellular Network as a Sensor: From Mobile Phone Data to Real-Time Road Traffic Monitoring
Janecek, Andreas
Valerio, Danilo
Hummel, Karin Anna
Ricciato, Fabio
Hlavacs, Helmut
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (05) : 2551 - 2572
[46] Low power protocol to broadcast real-time data traffic in a clustered ad hoc network
Cano, JC
Manzoni, P
GLOBECOM '01: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6, 2001, : 2916 - 2920
[47] Application of double BP neural network combined forecasting model in real-time data predicting
College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China
Zhongguo Dianji Gongcheng Xuebao, 2007, 17 (94-97):
[48] A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data
Sun, Jie
Sun, Jian
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2015, 54 : 176 - 186
[49] Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media
Roy, Kamol Chandra
Hasan, Samiul
Culotta, Aron
Eluru, Naveen
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 131
[50] Camera location for real-time traffic state estimation in urban road network using big GPS data
Shan, Zhenyu
Zhu, Qianqian
NEUROCOMPUTING, 2015, 169 : 134 - 143

← 1 2 3 4 5 →