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IPPS
2010
IEEE
15 years 4 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
SIGMOD
2003
ACM
209views Database» more  SIGMOD 2003»
16 years 6 months ago
Distributed Top-K Monitoring
The querying and analysis of data streams has been a topic of much recent interest, motivated by applications from the fields of networking, web usage analysis, sensor instrumenta...
Brian Babcock, Chris Olston
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 12 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
MIDDLEWARE
2010
Springer
15 years 4 months ago
Adapting Distributed Real-Time and Embedded Pub/Sub Middleware for Cloud Computing Environments
Enterprise distributed real-time and embedded (DRE) publish/subscribe (pub/sub) systems manage resources and data that are vital to users. Cloud computing—where computing resourc...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...
CBSE
2011
Springer
14 years 6 months ago
Rectifying orphan components using group-failover in distributed real-time and embedded systems
Orphan requests are a significant problem for multi-tier distributed systems since they adversely impact system correctness by violating the exactly-once semantics of application...
Sumant Tambe, Aniruddha S. Gokhale