Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Fog computing is a paradigm that extends the cloud to intermediate network devices with computational and storage capacities… 
2017
2017
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
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
Many traditional and new business applications work with inherently graphstructured data and therefore benefit from graph… 
Highly Cited
2011
Highly Cited
2011
This paper introduces CIEL, a universal execution engine for distributed data-flow programs. Like previous execution engines… 
2005
2005
Composition of Web services helps to lower the time-to-market of service-based applications by reusing the functionality provided… 
2004
2004
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs… 
2003
2003
This thesis presents a distributed data-flow model for composing autonomous software services, as might be provided over the web… 
2000
2000
The paper presents an innovative hierarchical feedback adaptation method that efficiently controls the dynamic QoS behavior of…