Storage and Analysis Infrastructure for Data Acquisition Systems with High Data Rates
作者： M. Sutter , T. Jejkal , R. Stotzka , V. Hartmann , M. Hardt
DOI: 10.1007/978-1-4419-5574-6_7
关键词: Data management 、 Data quality 、 Distributed computing 、 Data grid 、 Data modeling 、 Data architecture 、 Data acquisition 、 Data efficiency 、 Spatial data infrastructure 、 Database 、 Computer science
摘要: The purpose of process data processing is the analysis data. These are normally measured using a acquisition system. Several projects use distributed systems, making controlling from central instance with secure access to infrastructure necessary. Special for several also very high resource demands, e.g. produced rates. In order fulfill requirements such development system main infrastructure, handling rates and ad hoc make scalable reliable it should be based on open standards. This chapter evaluates already existing remote control software packages management systems projects. evaluation identifies that usage Grid technologies provides necessary features as offers, e.g., security storage computation infrastructure. provided architecture uses GRIDCC framework detectors, communication handle amount Service Oriented Architectures analysis.
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