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EDBT
2010
ACM
188views Database» more  EDBT 2010»
13 years 11 months ago
DEDUCE: at the intersection of MapReduce and stream processing
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
Vibhore Kumar, Henrique Andrade, Bugra Gedik, Kun-...
SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
14 years 8 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
VLDB
2004
ACM
108views Database» more  VLDB 2004»
14 years 8 months ago
Retrospective on Aurora
This experience paper summarizes the key lessons we learned throughout the design and implementation of the Aurora stream processing engine. For the past two years, we have built f...
Hari Balakrishnan, Magdalena Balazinska, Donald Ca...
CLOUDCOM
2010
Springer
13 years 6 months ago
A Study in Hadoop Streaming with Matlab for NMR Data Processing
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud comput...
Kalpa Gunaratna, Paul Anderson, Ajith Ranabahu, Am...
NOSSDAV
2009
Springer
14 years 3 months ago
Providing statistically guaranteed streaming quality for peer-to-peer live streaming
Most of the literature on peer-to-peer (P2P) live streaming focuses on how to provide best-effort streaming quality by efficiently using the system bandwidth; however, there is n...
Miao Wang, Lisong Xu, Byrav Ramamurthy