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Internet Routing Architectures
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Experimental Study of Internet Stability and Backbone Failures
FTCS '99 Proceedings of the Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing
MPLS and traffic engineering in IP networks
IEEE Communications Magazine
Wide-area Internet traffic patterns and characteristics
IEEE Network: The Magazine of Global Internetworking
NetScope: traffic engineering for IP networks
IEEE Network: The Magazine of Global Internetworking
Traffic engineering with MPLS in the Internet
IEEE Network: The Magazine of Global Internetworking
Trajectory sampling for direct traffic observation
IEEE/ACM Transactions on Networking (TON)
Pop-level and access-link-level traffic dynamics in a tier-1 POP
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Characterizing large DNS traces using graphs
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
New directions in traffic measurement and accounting
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
New directions in traffic measurement and accounting
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Automated measurement of high volume traffic clusters
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Efficient OLAP Query Processing in Distributed Data Warehouses
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
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IWDC '01 Proceedings of the Thyrrhenian International Workshop on Digital Communications: Evolutionary Trends of the Internet
Histogramming Data Streams with Fast Per-Item Processing
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Dynamic Core Provisioning for Quantitative Differentiated Service
IWQoS '01 Proceedings of the 9th International Workshop on Quality of Service
New directions in traffic measurement and accounting: Focusing on the elephants, ignoring the mice
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Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
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ACCEL-RATE: a faster mechanism for memory efficient per-flow traffic estimation
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Dynamic core provisioning for quantitative differentiated services
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Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
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ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
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PAM'11 Proceedings of the 12th international conference on Passive and active measurement
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Engineering a large IP backbone network without an accurate, network-wide view of the traffic demands is challenging. Shifts in user behavior, changes in routing policies, and failures of network elements can result in significant (and sudden) fluctuations in load. In this paper, we present a model of traffic demands to support traffic engineering and performance debugging of large Internet Service Provider networks. By defining a traffic demand as a volume of load originating from an ingress link and destined to a set of egress links, we can capture and predict how routing affects the traffic traveling between domains. To infer the traffic demands, we propose a measurement methodology that combines flow-level measurements collected at all ingress links with reachability information about all egress links. We discuss how to cope with situations where practical considerations limit the amount and quality of the necessary data. Specifically, we show how to infer interdomain traffic demands using measurements collected at a smaller number of edge links --- the peering links connecting to neighboring providers. We report on our experiences in deriving the traffic demands in the AT&T IP Backbone, by collecting, validating, and joining very large and diverse sets of usage, configuration, and routing data over extended periods of time. The paper concludes with a preliminary analysis of the observed dynamics of the traffic demands and a discussion of the practical implications for traffic engineering.