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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Fog computing is a paradigm that extends the cloud to intermediate network devices with computational and storage capacities… Expand
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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… Expand
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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… Expand
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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… Expand
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2009
2009
We present a code-generation-based optimization approach to bringing performance and scalability to distributed stream processing… Expand
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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… Expand
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2005
2005
Distributed programming is usually considered both difficult and inherently different from concurrent centralized programming. It… Expand
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2004
2004
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs… Expand
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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… Expand
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1993
1993
The GE Distributed Application Environment (GEDAE) is a graphical programming tool that facilitates the development of parallel… Expand
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