Feedback in Recursive Congestion Control

In recursive network architectures such as RINA or RNA, it is natural for multiple layers to carry out congestion control. These layers can be stacked in arbitrary ways and provide more ways to use feedback than before (which of the many controllers along an end-to-end path should be notified?). Thi...

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Bibliographic Details
Published inComputer Performance Engineering pp. 109 - 125
Main Authors Hayes, David A., Teymoori, Peyman, Welzl, Michael
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
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Summary:In recursive network architectures such as RINA or RNA, it is natural for multiple layers to carry out congestion control. These layers can be stacked in arbitrary ways and provide more ways to use feedback than before (which of the many controllers along an end-to-end path should be notified?). This in turn raises concerns regarding stability and performance of such a system of interacting congestion control mechanisms. In this paper, we report on a first analysis of feedback methods in recursive networks that we carried out using a fluid model with a packet queue approximation. We find that the strict pushback feedback based on queue size can have stability issues, but robust control can be achieved when each congestion controller receives feedback from all sources of congestion within and below its layer.
Bibliography:D. Hayes — completed most of the work on this paper while with the University of Oslo.
ISBN:9783319464329
3319464329
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-46433-6_8