2017 Paper on “Peering into Peering: Building Better Tools for Better Peering Decisions”

5 Dec 2018 11:13 AM


Network operators need to assess the effects of routing policies and traffic engineering methods in order to guide planning and operational decisions related to peering. We propose a peering analysis framework based on the correlation of inferred AS paths and traffic flow information. We define the data sets needed and a four-step methodology designed to reduce network data dimensionality, determine traffic proximity, identify traffic propensity, and quantify the impact of traffic locality. We demonstrate how the correlation of traffic flow and AS paths, and the application of our four-step approach, uncovers rich information when applied to a real-world case study of a local Internet service provider.


John Robert T. Mendoza
Senior Science Research Specialist

Bert holds a Bachelor of Science Degree in Electronics and Communications Engineering. He is currently studying for his doctorate degree in Electrical and Electronics Communications Engineering at the University of the Philippines – Diliman, with full scholarship grant from the DOST – Human Resource Development Program (HRDP).

John Robert started his career in DOST – ASTI as a project-based staff and was eventually absorbed as a regular employee, holding a Senior Science Research Specialist position. He is also a licensed Electronics Engineer and a member of the Computer and Archiving Research Environment (COARE) project, under Research and Development Division (RDD)

Josuel Racca

Isabel Montes

Roel Ocampo

Cedric Angelo Festin

Published on

 16 March 2017

Presented in

2016 26th International Telecommunication Networks and Applications Conference

Published at

IEEE Xplore Digital Library

Link to Publication