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The ESGF software stack integrates custom components (for data publishing, searching, user interface, security and messaging), developed collaboratively by the team, with popular application engines (Tomcat, Solr) available from the open source community.
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The metadata mechanism in conjunction with the Java-based application engine allows users to access and retrieve diverse data formats and structures from many heterogeneous hydrological data sources.
The architecture of our integrated data management system is based on a metadata approach, which consists of four components including a metadata mechanism and a Java-based application engine.
Google's Application Engine (GAE) is one of the most known PaaS.
"[Developers] can take their existing application engine and put a Sailfish UI on it very easily".
The fact that the mOSAIC's platform is deployable makes the difference from other PaaS, like Google Application Engine [80] or Microsoft Azure [81].
The other core part of the system is a synchrophasor applications engine.
The key synchrophasor applications engine embedded in this system is discussed in Sect.
LSE results are then streamed into the synchrophasor applications engine for analysis.
LSE extends the PMU coverage to all substations and transmission lines of the subsystem, conditions the data, and streams the results into the synchrophasor applications engine for analysis.
Synchrophasor data are transferred via high speed network to the enterprise operations service network, where different applications components are running, including modeless data validation and conditioning, network model manager, LSE, synchrophasor applications engine, etc.
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