DIMACS TR: 2001-43
QuickSAND: Quick Summary and Analysis of Network Data
Authors: Anna C. Gilbert, Yannis Kotidis, S. Muthukrishnan, and Martin. J. Strauss
Monitoring and analyzing traffic data generated from large ISP
networks imposes challenges both at the data gathering phase as
well as the data analysis itself. Still, both tasks are crucial for
responding to day to day challenges of engineering large networks
with thousands of customers. In this paper we
build on the premise that approximation is a necessary evil of
handling massive datasets such as network data.
We propose building compact summaries of the traffic data
called sketches at distributed network elements and centers.
These sketches are able to respond well to queries that seek
features that stand out of the data. We call such
features ``heavy hitters.'' In this paper, we describe sketches
and show how to use sketches to answer aggregate and
trend-related queries and identify heavy hitters. This may be
used for exploratory data analysis of network operations interest.
We support our proposal by experimentally studying
AT&T WorldNet data and performing a feasibility study on the
Cisco NetFlow data collected at several routers.
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