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» Evaluating algorithms that learn from data streams
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ASPDAC
2004
ACM
96views Hardware» more  ASPDAC 2004»
15 years 7 months ago
Rate analysis for streaming applications with on-chip buffer constraints
While mapping a streaming (such as multimedia or network packet processing) application onto a specified architecture, an important issue is to determine the input stream rates tha...
Alexander Maxiaguine, Simon Künzli, Samarjit ...
TIME
2005
IEEE
15 years 9 months ago
LOLA: Runtime Monitoring of Synchronous Systems
Abstract— We present a specification language and algorithms for the online and offline monitoring of synchronous systems including circuits and embedded systems. Such monitori...
Ben D'Angelo, Sriram Sankaranarayanan, Césa...
VLDB
2004
ACM
128views Database» more  VLDB 2004»
16 years 4 months ago
Operator scheduling in data stream systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or realtime query responses in su...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
141
Voted
CLOUD
2010
ACM
15 years 9 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
SIGMOD
2004
ACM
164views Database» more  SIGMOD 2004»
16 years 4 months ago
Dynamic Plan Migration for Continuous Queries Over Data Streams
Dynamic plan migration is concerned with the on-the-fly transition from one continuous query plan to a semantically equivalent yet more efficient plan. Migration is important for ...
Yali Zhu, Elke A. Rundensteiner, George T. Heinema...