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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
2013
Highly Cited
2013
Many traditional and new business applications work with inherently graphstructured data and therefore benefit from graph… 
Review
2009
Review
2009
Strong reliability properties, such as state machine replication and virtual synchrony, are hard to implement in a scalable… 
2009
2009
This paper presents a new object-oriented approach to modeling the semantics of distributed multi-party protocols such as leader… 
2009
2009
We present a code-generation-based optimization approach to bringing performance and scalability to distributed stream processing… 
2006
2006
Here is a multi-criteria approach to identify and evaluate network-flow monitoring strategies in a stochastic environment. We… 
2004
2004
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs… 
1993
1993
The GE Distributed Application Environment (GEDAE) is a graphical programming tool that facilitates the development of parallel… 
1986
1986
Existing data-flow languages are incapable of supporting large, manageable and reliable non-deterministic programs. Operating… 
1982
1982
Near term advances in technology such as VHSIC promise revolutionary progress in programmable signal processor capabilities…