Aggregating large-scale measurements for Application Layer Traffic Optimization (ALTO) Protocol

Reference : Aggregating large-scale measurements for Application Layer Traffic Optimization (ALTO...


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/4779

Title :	Aggregating large-scale measurements for Application Layer Traffic Optimization (ALTO) Protocol
Language :	English
Author, co-author :	Goergen, David [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	State, Radu [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Gurbani, Vijay [Bell Labs, Alcatel-Lucent]
Publication date :	Jul-2013
Number of pages :	12
Peer reviewed :	No
Audience :	International
Event name :	87th IETF Meeting
Event date :	July 28 - August 2, 2013
Event place (city) :	Berlin
Event country :	Germany
Abstract :	[en] Analyzing and aggregating large-scale broadband measurements is essential to study trends and derive network analytics. These trends and analyses could be made available through well defined protocols such as the Application Layer Traffic Optimization (ALTO) protocol. However, ALTO requires network information to be distilled and abstracted in form of a network map and a cost map. We describe our methodology for analyzing the United States Federal Communication Commission’s (FCC) Measuring Broadband America (MBA) dataset to derive required topology and cost maps suitable for consumption by an ALTO server.
Permalink :	http://hdl.handle.net/10993/4779

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