An easy way to think about Zipfian distributions is something like "the most popular 30% of your data set is queried 70% of the time". Its basically the tempora

An easy way to think about Zipfian distributions is something like "the most popular 30% of your data set is queried 70% of the time". Its basically the temporal locality property that a lot caching systems exploit. For more look at http://en.wikipedia.org/wiki/Zipf%27s_law http://en.wikipedia.org/wiki/Zipf%27s_law and www.icis.ntu.edu.sg/scs-ijit/1204/1204_6.pdf