Sentence examples for data processing resource from inspiring English sources

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In the field of remotely sensed images, spatial-information grids work more effectively for network computing, data processing, resource sharing, task cooperation and so on.

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The Council for Geoscience is thanked for providing the regional airborne magnetic data and data processing resources.

One of the essential properties of high-availability systems is the capability of data processing resources to deliver the specified services to fulfill a certain requirement pertaining to any business or government activities.

Here, an innovative glycoinformatic suite of well-curated databases and analytical tools has been developed to support the growing demand for HPLC data processing resources, such as GlycoBase and auto-glucose unit (GU; Campbell et al. 2008).

Users should add administrative FTEs based initially on assumptions of how many fixed, baseline staff are needed for such functions as reception, medical records or data processing, human resources managers, operations managers, and the like.

The availability of data and processing resources as RDF facilitates integrating the resources as Linked Data [64].

The representation of data and processing resources in W3C Resource Description Framework facilitates integrating the resources as Linked Data.

The OpenTox framework integrates both technologies into a distributed web services framework, where both data and processing resources are described by ontologies: either existing ones, or developed within the project.

Easily integrating various data and processing resources has considerable advantages in terms of rapid development of models and their execution but gives less control on the quality of the results as various uncertainties coexisting in the components of the workflow model.

In this paper we present our approach towards parallel data processing exploiting dynamic resource allocation in IaaS clouds.

Other platforms oriented to dataflows like Spark propose alternatives to data processing requiring computing resources and also Storm and Flink for dealing with streams (i.e., Big data velocity).

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