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Traffic Control and the Problem of Congestion within the Internet. By Liz Brown and Nadine Sur. Project Introduction. We found Caltech research online concerning traffic control on the internet. Our goal was to interpret these complex mathematical models that use algorithms.
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Traffic Control and the Problem of Congestion within the Internet By Liz Brown and Nadine Sur
Project Introduction • We found Caltech research online concerning traffic control on the internet. • Our goal was to interpret these complex mathematical models that use algorithms. • These algorithms are used to help in designing a more effective congestion control system for the internet.
TCP and AQM Mechanisms • The TCP/AQM mechanism is the current system used to model traffic and congestion on the internet. • The Traffic Control Protocol (TCP) • The Active Queue Management (AQM) • The aim of the TCP/AQM algorithm is to maximize the sum of objective functions of sources under constraints on the capacity of channels, this is also known as…
However… • This model is outdated because it cannot effectively handle the rising amount of traffic on the internet. • Therefore, researchers at Caltech are contemplating whether to modify the existing algorithm or “do it all again” by creating a new algorithm.
Design Objectives • Network Utilization • Decrease Delays • Stability Go Beyond the Fluid Flow Model and create a simple solution that is reliable, controllable and adaptable!
The Fluid Flow Model Aggregate flow: Aggregate price:
Aggregate Flow Variables Total Aggregate Flow, the total rate of link L Routing Matrix with dimensions L x I defined by: 1 if source i uses link l 0 otherwise Rate of transmission of the source in packets/second Time in seconds Delay between source and links
Aggregate Price Variables Total Aggregate Price, or Total Congestion Routing Matrix with dimensions L x I defined by: 1 if source i uses link l 0 otherwise Congestion measure or price Time in seconds Delay between links to sources
But what does this mean? • The fluid flow model takes into account the total flow of packets (of information) from the sources to the links and the total congestion. By doing this, it provides a realistic model of the actual speed of the packets between the links and sources.
Conclusions • Modeling traffic control on the internet is a HUGE and complex research task. • Our objective was to understand and be able to explain the basics of traffic control modeling. • From doing this project we have learned…
Calculus is the foundation for many things that we take for granted, like the internet. • With ourprior knowledge, we were able to understand complex ideas and equations that seem impossible AND…
THE INTERNET IS NOT MAGIC