A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is
Continuous dataflows complement scientific workflows by allowing composition of realtime data ingest and analytics pipelines to process data streams from pervasive sensors and "always-on" scientific instruments. Such dataflows are missioncritical applications that cannot suffer downtime, need to operate consistent, and are long running, but may need to be updated to fix bug or add features. This poses the problem: How do we update the continuous dataflow application with minimal disruption? Indoi:10.1109/escience.2013.35 dblp:conf/eScience/WickramaarachchiS13 fatcat:q2yzienphjdn7mwc342sntsodu