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EDOC
2003
IEEE
15 years 3 months ago
An Efficient, Scalable Content-Based Messaging System
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
CORR
2008
Springer
65views Education» more  CORR 2008»
14 years 9 months ago
Revisiting Norm Estimation in Data Streams
We revisit the problem of (1
Jelani Nelson, David P. Woodruff
CIKM
2004
Springer
15 years 3 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
PVLDB
2008
216views more  PVLDB 2008»
14 years 8 months ago
Ad-hoc data processing in the cloud
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
Dionysios Logothetis, Ken Yocum
DANCE
2002
IEEE
15 years 2 months ago
Panda: Middleware to Provide the Benefits of Active Networks to Legacy Applications
Panda is middleware designed to bring the benefits of active networks to applications not written with active networks in mind. This paper describes the architecture and implement...
Vincent Ferreria, Alexey Rudenko, Kevin Eustice, R...