@techreport{TD:100153,
	att_abstract={{Server side measurements from several Wi-Fi hotspots
deployed in a nationwide network over different types of
venues from small coffee shops to large enterprises are used to
highlight differences in traffic volumes and patterns. We develop
a common modeling framework for the number of simultaneously
present customers. Our approach has many novel elements: (a)
We combine statistical clustering with Poisson regression from
Generalized Linear Models to fit a non-stationary Poisson process
to the arrival counts and demonstrate its remarkable accuracy;
(b) We model the heavy tailed distribution of connection durations
through fitting a Phase Type distribution to its logarithm
so that not only the tail but also the overall distribution is
well matched; (c) We obtain the distribution of the number
of simultaneously present customers from an Mt/G/infty queuing
model using a novel regenerative argument that is transparent and
avoids the customarily made assumption of the queue starting
empty at an infinite past; (d) Most importantly, we validate
our models by comparison of their predictions and confidence
intervals against test data that is not used in fitting the models.}},
	att_authors={rj2124, vr1945, jr6321, ns2438},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{}},
	att_donotupload={true},
	att_private={false},
	att_projects={},
	att_tags={WiFi,  modeling},
	att_techdoc={true},
	att_techdoc_key={TD:100153},
	att_url={},
	author={Amitabha Ghosh and Rittwik Jana and Vaidyanathan Ramaswami and James Rowland and N Shankaranarayanan},
	institution={{Infocom 2011}},
	month={April},
	title={{Modeling and Characterization of Large-Scale Wi-Fi Traffic in Public Hot-Spots}},
	year=2011,
}