Analysis of the

Gaylan, John; Maheshwari, Surabhi; Whitener, Andrew

dc.contributor.author	Gaylan, John
dc.contributor.author	Maheshwari, Surabhi
dc.contributor.author	Whitener, Andrew
dc.date.accessioned	2017-06-20T14:30:03Z
dc.date.accessioned	2020-11-25T13:01:23Z
dc.date.available	2017-06-20T14:30:03Z
dc.date.available	2020-11-25T13:01:23Z
dc.date.issued	2017-04-27
dc.identifier.uri	http://hdl.handle.net/20.500.12648/1564
dc.description	This work was undertaken for Math 610: Projects in Applied Mathematics, Spring 2017, SUNY Maritime College. The class was taught by Associate Professor of Mathematics Debbie Yuster and was offered in conjunction with a grant from the Mathematical Association of America's Preparation for Industrial Careers in Mathematical Sciences program (PIC Math).
dc.description.abstract	As technology advances, network congestion avoidance becomes increasingly more important. For this project, we attempted to analyze and optimize the Additive Increase, Multiplicative Decrease (AIMD) algorithm to gather data for our partner company. We created our own AIMD models and ran simulations to find and compare relevant data.
dc.language.iso	en
dc.subject	Additive Increase
dc.subject	Multiplicative Decrease
dc.subject	Algorithm
dc.subject	TCP
dc.subject	Transmission Control Protocol
dc.subject	Congestion Avoidance Network
dc.subject	Smoothness Convergence Efficiency
dc.title	Analysis of the "Additive Increase Multiplicative Decrease" Model for Congestion Avoidance
dc.type	Article
dc.type	Presentation
refterms.dateFOA	2020-11-25T13:48:00Z
dc.description.institution	SUNY Maritime College