DOE OSTI · 1969376
Component based dataflow processing framework
Abstract
In this paper we present SOA based CLAs12 event Reconstruction and Analyses (CLARA) framework used to develop Earth Science multi-sensor data fusion, processing, and analytics applications (NAIADS: NASA JLAB collaboration). CLARA design focus is on two main traits: a) real-time data stream processing, and b) service oriented architecture (SOA) in a flow based programming (FBP) paradigm. Data driven and data centric architecture of CLARA presents an environment for developing agile, elastic, multilingual data processing applications. The CLARA framework presents solutions, capable of processing large volumes of data interactively and substantially faster than batch systems.
Keep this discovery
Explore connections, maps & timelines
Gyurjyan, V., Bartle, A., Lukashin, C., Mancilla, S., Oyarzun, R., Vakhnin, A.. 2015-12-01. Component based dataflow processing framework. https://doi.org/10.1109/bigdata.2015.7363971
Cite the original work for its findings. Save a collection to share your selection of sources.