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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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Related topics

Related topics

16 relations
Abstraction layerAsynchronous method invocationCommunications protocolComponent-based software engineering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
YAFS: A Simulator for IoT Scenarios in Fog Computing
Fog computing is a paradigm that extends the cloud to intermediate network devices with computational and storage capacities… 
2017
2017
Distributed Machine Learning-but at what COST ?
Training machine learning models at scale is a popular workload for distributed data flow systems. However, as these systems were… 
Highly Cited
2014
Highly Cited
2014
Toward a Distributed Data Flow Platform for the Web of Things (Distributed Node-RED)
Several web-based platforms have emerged to ease the development of interactive or near real-time IoT applications by providing a… 
Highly Cited
2013
Highly Cited
2013
The Graph Story of the SAP HANA Database
Many traditional and new business applications work with inherently graphstructured data and therefore benefit from graph… 
Highly Cited
2011
Highly Cited
2011
CIEL: A Universal Execution Engine for Distributed Data-Flow Computing
This paper introduces CIEL, a universal execution engine for distributed data-flow programs. Like previous execution engines… 
2011
2011
Research of Hadoop-based data flow management system
2005
2005
Middleware Support for Data-flow Distribution in Web Services Composition ?
Composition of Web services helps to lower the time-to-market of service-based applications by reusing the functionality provided… 
2004
2004
Efficient integration of web services with distributed data flow and active mediation
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs… 
2003
2003
A distributed data flow model for composing software services
This thesis presents a distributed data-flow model for composing autonomous software services, as might be provided over the web… 
2000
2000
Hierarchical feedback adaptation for real time sensor-based distributed applications
The paper presents an innovative hierarchical feedback adaptation method that efficiently controls the dynamic QoS behavior of… 
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