File Name: traffic and congestion control in atm .zip
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. A neural-fuzzy system for congestion control in ATM networks Abstract: We propose the use of a neural-fuzzy scheme for rate-based feedback congestion control in asynchronous transfer mode ATM networks. Available bit rate ABR traffic is not guaranteed quality of service QoS in the setup connection, and it can dynamically share the available bandwidth. Therefore, congestion can be controlled by regulating the source rate, to a certain degree, according to the current traffic flow. Traditional methods perform congestion control by monitoring the queue length.
Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated. Shodhganga Mirror Site. Show full item record. Jawaharlal Nehru Technological University, Anantapuram. Among these services, the newlineABR service provides better service for data traffic by periodically newlineadvising the sources about the rate at which they should transmit.
PDF | Congestion control mechanisms for ATM networks as selected by the ATM Forum traffic management group are described. Reasons.
Show all documents To develop network utilization and robustness for ATM networks there is raising facts that reactive congestion controls are essential. The reinforcement learning NN controller provides an adaptive optimal control solution. This is achieved via the formulation of cost function and it is defined in terms of two major objectives: 1 to reduce the cell loss rate CLR , i. The results show that the NN control system is applicable to any type of multimedia traffic and it maximizes the performance of the system.
Not a MyNAP member yet? Register for a free account to start saving and receiving special member only perks. Network congestion will increase as network speed increases. New control methods are needed, especially for handling "bursty" traffic expected in very high speed networks such as asynchronous transfer mode ATM networks. Users should have instant access to all available network bandwidth when they need it, while being assured that the chance of losing data in the presence of congestion will be negligible.
Explore more content. Cite Download Several researchers have recently advocated dynamic pricing mechanisms such as the smart market. This paper explores how dynamic state-dependent pricing and explicit congestion control can both be used to avoid and alleviate congestion. Dynamic pricing has significant advantages for heterogeneous traffic, although this paper demonstrates that this approach reduces raw throughput.
Keywords: ATM Networks; Traffic management; Congestion control; flow control; Computer networks; Congestion avoidance. 1. Introduction. Future high speed.Reply
Marvin perry western civilization a brief history 10th edition pdf the boat nam le pdf freeReply
Skip to search form Skip to main content You are currently offline.Reply
Assassins creed black flag novel pdf free download download the 4 hour body pdfReply