This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages)
This article contains weasel words: vague phrasing that often accompanies biased or unverifiable information. Such statements should be clarified or removed.(December 2012)
The neutrality of this article is disputed. Relevant discussion may be found on the talk page. Please do not remove this message until conditions to do so are met.(December 2012) (Learn how and when to remove this message)
The article's lead section may need to be rewritten. The reason given is: This lead section is not sufficiently neutral and needs to be re-written. Please help improve the lead and read the lead layout guide.(December 2012) (Learn how and when to remove this message)
This article is written like a personal reflection, personal essay, or argumentative essay that states a Wikipedia editor's personal feelings or presents an original argument about a topic. Please help improve it by rewriting it in an encyclopedic style.(December 2012) (Learn how and when to remove this message)
(Learn how and when to remove this message)
Design of robust and reliable networks and network services relies on an understanding of the traffic characteristics of the network. Throughout history, different models of network traffic have been developed and used for evaluating existing and proposed networks and services.
Demands on computer networks are not entirely predictable. Performance modeling is necessary for deciding the quality of service (QoS) level. Performance models in turn, require accurate traffic models that have the ability to capture the statistical characteristics of the actual traffic on the network. Many traffic models have been developed based on traffic measurement data. If the underlying traffic models do not efficiently capture the characteristics of the actual traffic, the result may be the under-estimation or over-estimation of the performance of the network. This impairs the design of the network. Traffic models are hence, a core component of any performance evaluation of networks and they need to be very accurate.
“Teletraffic theory is the application of mathematics to the measurement, modeling, and control of traffic in telecommunications networks.[1] The aim of traffic modeling is to find stochastic processes to represent the behavior of traffic. Working at the Copenhagen Telephone Company in the 1910s, A. K. Erlang famously characterized telephone traffic at the call level by certain probability distributions for arrivals of new calls and their holding times. Erlang applied the traffic models to estimate the telephone switch capacity needed to achieve a given call blocking probability. The Erlang blocking formulas had tremendous practical interest for public carriers because telephone facilities (switching and transmission) involved considerable investments. Over several decades, Erlang’s work stimulated the use of queuing theory, and applied probability in general, to engineer the public switched telephone network. Teletraffic theory for packet networks has seen considerable progress in recent decades.[2][3][4][5] Significant advances have been made in long-range dependence, wavelet, and multifractal approaches. At the same time, traffic modeling continues to be challenged by evolving network technologies and new multimedia applications. For example, wireless technologies allow greater mobility of users. Mobility must be an additional consideration for modeling traffic in wireless networks.[6][7] Traffic modeling is an ongoing process without a real end. Traffic models represent our best current understanding of traffic behavior, but our understanding will change and grow over time.”[8]
^Willinger and Paxson (1998). "Where Mathematics Meets the Internet" (PDF). AMS.
^Park, Kihong; Willinger, Walter (2000). Self-similar network traffic and performance evaluation. New York: Wiley. doi:10.1002/047120644X.fmatter_indsub. ISBN 978-0-471-31974-0.
^Adas, A. (1997). "Traffic models in broadband networks". IEEE Communications Magazine. 35 (7): 82–89. CiteSeerX 10.1.1.23.1461. doi:10.1109/35.601746. ISSN 0163-6804.
^Michiel, H.; Laevens, K. (1997). "Teletraffic engineering in a broad-band era". Proceedings of the IEEE. 85 (12): 2007–2033. doi:10.1109/5.650182. ISSN 0018-9219.
^Chien-Hsing Wu; Huang-Pao Lin; Leu-Shing Lan (2002). "A new analytic framework for dynamic mobility management of PCS networks". IEEE Transactions on Mobile Computing. 99 (3): 208–220. doi:10.1109/TMC.2002.1081756.
^Thajchayapong, S.; Peha, J.M. (2006). "Mobility patterns in microcellular wireless networks" (PDF). IEEE Transactions on Mobile Computing. 5 (1): 52–63. doi:10.1109/tmc.2006.13. ISSN 1536-1233. S2CID 1175255.
characteristics of the actual traffic on the network. Many trafficmodels have been developed based on traffic measurement data. If the underlying trafficmodels do...
Current trafficmodels use a mixture of empirical and theoretical techniques. These models are then developed into traffic forecasts, and take account of proposed...
Virtual Air Traffic Simulation Network (VATSIM) is a nonprofit organization that operates an online flight-simulation network noted for its active membership...
Teletraffic engineers use their knowledge of statistics including queuing theory, the nature oftraffic, their practical models, their measurements and simulations...
road networks has increased substantially since the 1950s. When traffic demand is great enough that the interaction between vehicles slows the traffic stream...
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by neural circuitry...
sensor networks such as traffic counters, or general trends over a period of time, such as Annual average daily traffic (AADT). A wide range of methods...
organize networktraffic, the network size, the topology, traffic control mechanisms, and organizational intent.[citation needed] Computer networks support...
digital transmission of multiple types oftraffic. ATM was developed to meet the needs of the Broadband Integrated Services Digital Network as defined in the...
increases in networktraffic and became seriously congested. In June 1987 NSF issued a new solicitation to upgrade and expand NSFNET. As a result of a November...
settlement-free peering). Tier 1 networks can exchange traffic with other Tier 1 networks without paying any fees for the exchange oftraffic in either direction....
eavesdropping. Models against network eavesdropping attempts are built and developed as privacy is increasingly valued. Sections on cases of successful network eavesdropping...
The design of the network included the recognition that it should provide only the functions of efficiently transmitting and routing traffic between end...
than the OSI model. In comparison, several networkingmodels have sought to create an intellectual framework for clarifying networking concepts and activities...
etc. In the field of computer networking and other packet-switched telecommunication networks, quality of service refers to traffic prioritization and...
of networktraffic that is physically on a single network but acts as if it is split between separate networks. In this way, VLANs can keep network applications...
The historyof the Internet has its origin in the efforts of scientists and engineers to build and interconnect computer networks. The Internet Protocol...
activity scheduling decision. Activity-based models offer other possibilities than four-step models, e.g. to model environmental issues such as emissions and...
Traffic mix is a trafficmodel in telecommunication engineering and teletraffic theory. A traffic mix is a modelisation of user behaviour. In telecommunications...
Queuing Rule of Thumb Random early detection Renewal theory Throughput Scheduling (computing) Traffic jam Traffic generation model Flow network Sundarapandian...
Global Information
