Stream processing

Known as: Stream (disambiguation), Stream Computing, Stream programming 
Stream processing is a computer programming paradigm, equivalent to dataflow programming, event stream processing, and reactive programming, that… (More)
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Storm has long served as the main platform for real-time analytics at Twitter. However, as the scale of data being processed in… (More)
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Highly Cited
2013
Highly Cited
2013
MillWheel is a framework for building low-latency data-processing applications that is widely used at Google. Users specify a… (More)
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Highly Cited
2012
Highly Cited
2012
Many important “big data” applications need to process data arriving in real time. However, current programming models for… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data… (More)
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Highly Cited
2006
Highly Cited
2006
To use their pool of resources efficiently, distributed stream-processing systems push query operators to nodes within the… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper, we present the design, implementation, and evaluation of a system that executes complex event queries over real… (More)
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Highly Cited
2006
Highly Cited
2006
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations… (More)
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Highly Cited
2005
Highly Cited
2005
Borealis is a second-generation distributed stream processing engine that is being developed at Brandeis University, Brown… (More)
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Highly Cited
2003
Highly Cited
2003
Many stream-based applications are naturally distributed. Applications are often embedded in an environment with numerous… (More)
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Highly Cited
2003
Highly Cited
2003
We consider the problem of evaluating large numbers of XPath filters, each with many predicates, on a stream of XML documents… (More)
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