Power law distributions, also known as heavy tail distributions, model distinct real life
phenomena in the areas of biology, demography, computer science, economics, information …

One of the most significant findings of traffic measurement studies over the last decade has
been the observed self-similarity in packet network traffic. Subsequent research has focused …

Recently, I became interested in a current debate over whether file size distributions are best
modelled by a power law distribution or a lognormal distribution. In trying to learn enough …

We present a 1-pass algorithm for estimating the most frequent items in a data stream using
very limited storage space. Our method relies on a novel data structure called a count …

A comprehensive account of economic size distributions around the world and throughout
the years In the course of the past 100 years, economists and applied statisticians have …

This comprehensive text gives an interesting and useful blend of the mathematical,
probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are characteristic of …

This paper proposes COPE, a new architecture for wireless mesh networks. In addition to
forwarding packets, routers mix (ie, code) packets from different sources to increase the …

We introduce and create a framework for deriving probabilistic models of Information
Retrieval. The models are nonparametric models of IR obtained in the language model …

This paper proposes COPE, a new architecture for wireless mesh networks. In addition to
forwarding packets, routers mix (ie, code) packets from different sources to increase the …

We present a 1-pass algorithm for estimating the most frequent items in a data stream using
limited storage space. Our method relies on a data structure called a COUNT SKETCH …