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» Maintaining Stream Statistics over Sliding Windows
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PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 5 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
DC
2008
13 years 4 months ago
Sketching asynchronous data streams over sliding windows
We study the problem of maintaining a sketch of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in wh...
Bojian Xu, Srikanta Tirthapura, Costas Busch
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 5 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
PODC
2006
ACM
13 years 10 months ago
Sketching asynchronous streams over a sliding window
We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
Srikanta Tirthapura, Bojian Xu, Costas Busch
STACS
2007
Springer
13 years 11 months ago
A Deterministic Algorithm for Summarizing Asynchronous Streams over a Sliding Window
We consider the problem of maintaining aggregates over recent elements of a massive data stream. Motivated by applications involving network data, we consider asynchronous data str...
Costas Busch, Srikanta Tirthapura