NDLI: TTL based AQM in large delay network

Content Provider	IEEE Xplore Digital Library
Author	Lv Jianbin Li Bo Ge Yongxing
Copyright Year	2011
Description	Author affiliation: College of Computer Science, Chongqing 400044 (Lv Jianbin) \|\| College of Computer Science, Chongqing University, Chongqing 400044 (Li Bo; Ge Yongxing)
Abstract	This paper proposes a novel combination of ECN and BECN based on the value of the TTL, the hops that a packet has been passed since it was sent. Since the ECN and the BECN both have merits and disadvantages, the combination would be expected to enhance the performance and effectiveness of the congestion control. The TTL, a default attribute of a data packet transferring on networks, must be checked on each router to decide whether to drop or forward the packet. Based on the value of the TTL, ECN or BECN would be selected to inform the sender the incipient congestion. We developed a mathematical model to analyze behaviors of the mechanism and test the model under different conditions. The results are accorded to the network behaviors very well.
Starting Page	937
Ending Page	942
File Size	233914
Page Count	6
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968318
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Analytical models Time to Live (TTL) Backward Explicit Congestion Notification (BECN) Bandwidth Receivers Explicit Congestion notification (ECN) Mathematical model Random Early Detection (RED) Delay Equations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Effectiveness of ecn and red based congestion detection.

Abstract – Explicit Congestion Notification (ECN) and Active Queue Management (AQM) Schemes such as Random Early

The effect of ECN on short TCP sessions

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A quantitative analysis and performance study of fast congestion notification (FN) mechanism

Bio: an alternative to rio (2001).

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TTL based AQM in large delay network

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