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Congestion Avoidance in Computer Networks with a Connectionless Network Layer, Part I: Concepts, Goals and Methodology

1998/09/24 by Raj Jain, R. Jain, Jain, R. +2
Computer Science · Engineering · #Advanced Optical Network Technologies #C.2.1 #FOS: Computer and information sciences #Network Traffic and Congestion Control #Networking and Internet Architecture (cs.NI) #Software-Defined Networks and 5G #cs.NI

paper · pdf · doi:10.48550/arxiv.cs/9809095

roc. Computer Networking Symposium, Washington, D.C., April 11-13, 1988, pp. 134-143

arxiv created 1998/09/24 · openalex publication_date 1998/09/24 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Congestion is said to occur in the network when the resource demands exceed the capacity and packets are lost due to too much queuing in the network. During congestion, the network throughput may drop to zero and the path delay may become very high. A congestion control scheme helps the network to recover from the congestion state. A congestion avoidance scheme allows a network to operate in the region of low delay and high throughput. Such schemes prevent a network from entering the congested state. Congestion avoidance is a prevention mechanism while congestion control is a recovery mechanism. We compare the concept of congestion avoidance with that of flow control and congestion control. A number of possible alternative for congestion avoidance have been identified. From these a few were selected for study. The criteria for selection and goals for these schemes have been described. In particular, we wanted the scheme to be globally efficient, fair, dynamic, convergent, robust, distributed, configuration independent, etc. These goals and the test cases used to verify whether a particular scheme has met the goals have been described. We model the network and the user policies for congestion avoidance as a feedback control system. The key components of a generic congestion avoidance scheme are: congestion detection, congestion feedback, feedback selector, signal filter, decision function, and increase/decrease algorithms. These components have been explained.

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