TCP/IP illustrated (vol. 1): the protocols
TCP/IP illustrated (vol. 1): the protocols
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Pricing in computer networks: reshaping the research agenda
ACM SIGCOMM Computer Communication Review
Optical burst switching (OBS) - a new paradigm for an optical Internet
Journal of High Speed Networks - Special issue on optical networking
Load-sensitive routing of long-lived IP flows
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Estimating the heavy tail index from scaling properties
Methodology and Computing in Applied Probability
Difficulties in simulating the internet
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
New directions in traffic measurement and accounting
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Connection-level analysis and modeling of network traffic
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Approximate fairness through differential dropping: (summary)
ACM SIGCOMM Computer Communication Review
Controlling high bandwidth aggregates in the network
ACM SIGCOMM Computer Communication Review
On the characteristics and origins of internet flow rates
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
A pragmatic definition of elephants in internet backbone traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Automatically inferring patterns of resource consumption in network traffic
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Understanding the End-to-End Performance Impact of RED in a Heterogeneous Environment
Understanding the End-to-End Performance Impact of RED in a Heterogeneous Environment
Understanding Internet traffic streams: dragonflies and tortoises
IEEE Communications Magazine
A parameterizable methodology for Internet traffic flow profiling
IEEE Journal on Selected Areas in Communications
Wide-area Internet traffic patterns and characteristics
IEEE Network: The Magazine of Global Internetworking
Why TCP timers (still) don't work well
Computer Networks: The International Journal of Computer and Telecommunications Networking
Byte me: a case for byte accuracy in traffic classification
Proceedings of the 3rd annual ACM workshop on Mining network data
On the convolution of Pareto and gamma distributions
Computer Networks: The International Journal of Computer and Telecommunications Networking
Memory Efficient Algorithm for Mining Recent Frequent Items in a Stream
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Traffic classification using en-semble learning and co-training
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Analysis of burstiness monitoring and detection in an adaptive Web system
Computer Networks: The International Journal of Computer and Telecommunications Networking
Internet traffic classification demystified: myths, caveats, and the best practices
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Transport-independent fairness
Computer Networks: The International Journal of Computer and Telecommunications Networking
TCP revisited: a fresh look at TCP in the wild
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Practical power modeling of data transmission over 802.11g for wireless applications
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
| Hi-index | 0.00 |
Previous studies of Internet traffic have shown that a very small percentage of flows consume most of the network bandwidth. It is important to understand the characteristics of such flows for traffic monitoring and modeling purposes. Several prior researchers have characterized such flows using different classification schemes: by size as elephant and mice; by duration as tortoise and dragonfly; and by burstiness as alpha and beta traffic. However, it is not clear how these different definitions of flows are related to each other. In this work, using data recorded from two different operational networks, we study these "heavy-hitter" flows in four different dimensions, namely size, duration, rate and burstiness, and examine how they are correlated. This paper makes three contributions: first, we systematically characterize prior definitions for the properties of such heavy-hitter traffic. Second, based on our datasets, we observe that there are strong correlations between some combinations of size, rate and burstiness. Finally, we provide a plausible explanation for the observed correlations. We show that these correlations could be explained by transport and application-level protocol mechanisms.