UNIVAC ..1616

As the production workload increased in volume and complexity (the ATLAS production tasks count is above 1.6 million), the ATLAS experiment scaled up its data processing

We then present how acquired data are postprocessed in order to build a database com- patible with high level gesture specification and capable of feeding real time data-driven

This specific processing includes the inversion of the equation of motion (the gravity meter records the time and the position of the falling object during its fall; g is

Applying these semantic rules is an interactive workflow, requiring the communi- cation between the main application engine, the rule processing engine, and a knowledge

Controls automatically follow events in time, and the high res- olution of automatic updating mechanisms results not only in the pro- cessing of the fi rst stimulus when it is

Since the summer of 2017, the data processing system has been working in a production mode, distributing jobs to two traditional Grid sites: CERN and JINR.. There

To remedy these limitations, we propose the so-called WAVES 3 , a new distributed RSP system built on top of popular big data frameworks and supporting continuous queries

Section 4 details the conceptual architecture and how it links CEP modules of events collections, purifications and enrichments as defined by Gal and Hadar (2010) with big data