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Distributed data flow

Distributed data flow (also abbreviated as distributed flow) refers to a set of events in a distributed application or protocol. Distributed data… 
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Papers overview

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Highly Cited
2019
Highly Cited
2019
Fog computing is a paradigm that extends the cloud to intermediate network devices with computational and storage capacities… 
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Highly Cited
2014
Highly Cited
2014
Several web-based platforms have emerged to ease the development of interactive or near real-time IoT applications by providing a… 
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Highly Cited
2013
Highly Cited
2013
Many traditional and new business applications work with inherently graphstructured data and therefore benefit from graph… 
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Highly Cited
2011
Highly Cited
2011
This paper introduces CIEL, a universal execution engine for distributed data-flow programs. Like previous execution engines… 
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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… 
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2005
2005
Distributed programming is usually considered both difficult and inherently different from concurrent centralized programming. It… 
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2005
2005
Composition of Web services helps to lower the time-to-market of service-based applications by reusing the functionality provided… 
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2004
2004
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs… 
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2003
2003
This thesis presents a distributed data-flow model for composing autonomous software services, as might be provided over the web… 
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1982
1982
Near term advances in technology such as VHSIC promise revolutionary progress in programmable signal processor capabilities…