@inproceedings {24643,
	title = {Feedback in Recursive Congestion Control},
	journal = {Computer Performance Engineering: 13th European Workshop on Performance Engineering, EPEW 2016, Proceedings},
	volume = {9951},
	year = {2016},
	note = {Chios, Greece, October 5-7},
	month = {09/2016},
	pages = {109--125},
	publisher = {Springer International Publishing},
	edition = {Lecture Notes in Computer Science},
	address = {Cham},
	abstract = {In recursive network architectures such as RINA or RNA, it is\&nbsp;natural for multiple layers to carry out congestion control. \&nbsp;These\&nbsp;layers can be stacked in arbitrary ways and provide more ways to\&nbsp;use feedback than before (which of the many controllers along an\&nbsp;end-to-end path should be notified?). This in turn raises concerns\&nbsp;regarding stability and performance of such a system of interacting\&nbsp;congestion control mechanisms. In this paper, we report on a\&nbsp;\&nbsp;first analysis of feedback methods in recursive networks that we\&nbsp;carried out using a fluid model with a packet queue\&nbsp;approximation. We find that the strict pushback feedback based on\&nbsp;queue size can have stability issues, but robust control can be\&nbsp;achieved when each congestion controller receives feedback\&nbsp;from all sources of congestion within and below its layer.\&nbsp;},
	isbn = {978-3-319-46433-6},
	doi = {10.1007/978-3-319-46433-6_8},
	url = {http://dx.doi.org/10.1007/978-3-319-46433-6_8},
	author = {David Andrew {Hayes} and Teymoori, Peyman and Welzl, Michael},
	editor = {Fiems, Dieter and Paolieri, Marco and Platis, Agapios}
}
