Reference : Aggregating large-scale measurements for Application Layer Traffic Optimization (ALTO...
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
Aggregating large-scale measurements for Application Layer Traffic Optimization (ALTO) Protocol
Goergen, David mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
State, Radu mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Gurbani, Vijay mailto [Bell Labs, Alcatel-Lucent]
87th IETF Meeting
July 28 - August 2, 2013
[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.

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