Paper Info
Title
Internet capacity: optimizing autonomous system inbound traffic using specialist knowledge as support for decision-making.
Abstract
Autonomous systems provide network control without external monitoring. This can be a problem when the traffic is asymmetric with a higher portion being inbound, as networks are generally designed for symmetrical loads. This problem occurs frequently in networks within South American countries as the inbound and outbound portions of traffic are unbalanced by a factor greater than 5:1. Furthermore, national content is usually hosted in the USA, exacerbating the problem. In this study, networks in Brazil, Colombia, and Venezuela are analyzed and characterized. Decision-making techniques are proposed as a tentative external control method or, in some cases, as a proactive attempt to interfere in an internal decision. Our new adaptive algorithm outperformed manual human intervention, which has potential utility to assist long-term capacity planning of the interconnection between autonomous systems.
Year
DOI
Venue
2015
10.1007/s12243-014-0453-4
Annales des Télécommunications
Keywords
Field
DocType
Internet traffic, Planning, Capacity, BGP policies, BGP, Traffic engineering, Characterization, Forecasting, Decision-making
Computer network,Capacity planning,Autonomous system (Internet),Autonomous system (mathematics),Engineering,Adaptive algorithm,Network control,Traffic engineering,Internet traffic,The Internet
Journal
Volume
Issue
ISSN
70
7-8
1958-9395
Citations 
PageRank 
References 
2
0.40
16
Authors
3
Name
Order
Citations
PageRank
Marcio A. de Deus120.40
Paulo H. P. Carvalho241.12
Joao Paulo Leite320.40