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» Data streams: algorithms and applications
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DEXA
2009
Springer
88views Database» more  DEXA 2009»
15 years 11 months ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
208
Voted
SIGMOD
2003
ACM
193views Database» more  SIGMOD 2003»
16 years 7 months ago
Chain : Operator Scheduling for Memory Minimization 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 real-time query responses in ...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
209
Voted
CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 8 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
189
Voted
PVLDB
2008
116views more  PVLDB 2008»
15 years 6 months ago
Tighter estimation using bottom k sketches
Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a ...
Edith Cohen, Haim Kaplan
209
Voted
USENIX
2008
15 years 9 months ago
Wide-Scale Data Stream Management
This paper describes Mortar, a distributed stream processing platform for building very large queries across federated systems (enterprises, grids, datacenters, testbeds). Nodes i...
Dionysios Logothetis, Ken Yocum