On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
Self-similarity and heavy tails: structural modeling of network traffic
A practical guide to heavy tails
Deriving traffic demands for operational IP networks: methodology and experience
IEEE/ACM Transactions on Networking (TON)
Trajectory sampling for direct traffic observation
IEEE/ACM Transactions on Networking (TON)
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
IEEE Communications Magazine
Fast accurate computation of large-scale IP traffic matrices from link loads
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Traffic engineering with estimated traffic matrices
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Coping with network failures: routing strategies for optimal demand oblivious restoration
Proceedings of the joint international conference on Measurement and modeling of computer systems
Traffic matrix estimation on a large IP backbone: a comparison on real data
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
A methodology for estimating interdomain web traffic demand
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Walking the tightrope: responsive yet stable traffic engineering
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Data streaming algorithms for estimating entropy of network traffic
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Traffic Engineering and QoS Optimization of Integrated Voice & Data Networks
Traffic Engineering and QoS Optimization of Integrated Voice & Data Networks
Simulation Study of Firewalls to Aid Improved Performance
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
Making routing robust to changing traffic demands: algorithms and evaluation
IEEE/ACM Transactions on Networking (TON)
Dynamic load balancing without packet reordering
ACM SIGCOMM Computer Communication Review
Sparse approximations for high fidelity compression of network traffic data
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Two-phase routing, scheduling and power control for wireless mesh networks with variable traffic
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Application of autonomic agents for global information grid management and security
Proceedings of the 2007 Summer Computer Simulation Conference
CSAMP: a system for network-wide flow monitoring
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Bandwidth guaranteed routing with fast restoration against link and node failures
IEEE/ACM Transactions on Networking (TON)
Delay tolerant bulk data transfers on the internet
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Towards realistic physical topology models for internet backbone networks
HONET'09 Proceedings of the 6th international conference on High capacity optical networks and enabling technologies
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Dartmouth internet security testbed (DIST: building a campus-wide wireless testbed
CSET'09 Proceedings of the 2nd conference on Cyber security experimentation and test
Dartmouth internet security testbed (DIST: building a campus-wide wireless testbed
CSET'09 Proceedings of the 2nd conference on Cyber security experimentation and test
Effect of sparse grooming on power consumption of optical networks
Proceedings of the 1st Workshop on Green Computing
From traffic matrix to routing matrix: PoP level traffic characteristics for a Tier-1 ISP
ACM SIGMETRICS Performance Evaluation Review
Routing on demand: toward the energy-aware traffic engineering with OSPF
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part I
Achieving high utilization with software-driven WAN
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
A provider-side view of web search response time
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy Management Through Optimized Routing and Device Powering for Greener Communication Networks
IEEE/ACM Transactions on Networking (TON)
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Understanding the variability of Internet traffic in backbone networks is essential to better plan and manage existing networks, as well as to design next generation networks. However, most traffic analyses that might be used to approach this problem are based on detailed packet or flow level measurements, which are usually not available throughout a large network. As a result there is a poor understanding of backbone traffic variability, and its impact on network operations (e.g. on capacity planning or traffic engineering).This paper introduces a metric for measuring backbone traffic variability that is grounded on simple but powerful traffic theory. What sets this metric apart, however, is that we present a method for making practical measurements of the metric using widely available SNMP traffic measurements. Furthermore, we use a novel method to overcome the major limitation of SNMP measurements -- that they only provide link statistics. The method, based on a "gravity model", derives an approximate traffic matrix from the SNMP data. In addition to simulations, we use more than 1 year's worth of SNMP data from an operational IP network of about 1000 nodes to test our methods. We also delve into the degree and sources of variability in real backbone traffic, providing insight into the true nature of traffic variability.