IEEE/ACM Transactions on Networking (TON)
Estimating the heavy tail index from scaling properties
Methodology and Computing in Applied Probability
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
Performance Evaluation with Heavy Tailed Distributions
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
A parameterizable methodology for Internet traffic flow profiling
IEEE Journal on Selected Areas in Communications
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It is widely recognized that today's Internet traffic is mostly carried by a relatively small number of elephant flows while mice flows constitute up to 80% of all active flows at any given moment in time. Although there are many research works that perform structural analysis of flows based on their size, rate, and lifespan, such analysis says very little about temporal properties of interactions among multiple flows originating from different applications. This paper focuses on temporal analysis of flows in attempt to grasp properties and patterns of flows that are related to application and user behaviour and can be captured only in the temporal view of traffic.