Sentence examples for data processing such as from inspiring English sources

It has been reported that the workflow paradigm has some limitations for distributed data processing, such as reliability and efficiency.

We show how network controls and data processing, such as error recovery and compression, operating on data, impact the QoI delivered to a recipient.

The Data Quality Monitoring system in the CMS experiment has been designed for the monitoring of both the online data taking as well as offline data processing, such as reconstruction of data at Tier0.

Most science domains adopt intrinsic geospatial principles (such as spatial constraints in phenomena evolution) for large amounts of geospatial data processing (such as geospatial analysis, feature relationship calculations, geospatial modeling, geovisualization, and geospatial decision support).

The simulation results demonstrate that the scattering signals caused by numerous buried rocks in the regolith can mask the horizontal reflectors, and the die-out of radar echo does not indicate the bottom of lunar regolith layer and data processing such as migration method could recover some of the subsurface information but also result in fake signals.

This is why we also believe that the best possible type of SOPE requires a structure similar to the ones of existing bodies of expertise dedicated to the data processing such as the International Planetary Data Alliance IPDAA), the Space Physics Archive Search and Extract (SPASE) or the Planetary Data System PDSS).

As the Web is now populated with large volume of information, it has become necessary to capture selected portions of web information in a data warehouse that supports further information processing such as data extraction, data classification, and data mining.

EBay also adopted new tools for big-data processing, such as the open-source software framework Hadoop and a system called Mobius that was developed in its labs.

However, most of existing methods are designed as generic tools without considering particular features of the data under processing, such as the distance distribution when the data is embedded into a certain metric space.

While CEP provides several benefits for data stream processing, such as continuous query, pattern detection, and temporal windows, it is difficult to express iterative controls, e.g., while and for repetition structures, using its primitives.

The framework supports in-network management of smart grid data including caching and processing such as rate adaptation, aggregation and filtering, and it also enables real-time state estimation in the medium voltage power grid.