scholarly journals Distributed data access in the Sequential Access Model at the D0 experiment at Fermilab

2002 ◽  
Author(s):  
I. Terekhov ◽  
V. White
Keyword(s):  
Data Access ◽  
Distributed Data ◽  
Access Model

scholarly journals Towards a Transparent Data Access Model for the GridRPC Paradigm

2007 ◽  
pp. 269-284 ◽  
Author(s):  
Gabriel Antoniu ◽  
Eddy Caron ◽  
Frédéric Desprez ◽  
Aurélia Fèvre ◽  
Mathieu Jan
Keyword(s):  
Data Access ◽  
Access Model

An Ontology-based approach to enable data-driven research in the field of NDT in Civil Engineering

2021 ◽  
Author(s):  
Benjamin Moreno-Torres ◽  
Christoph Völker ◽  
Sabine Kruschwitz
Keyword(s):  
Knowledge Representation ◽  
Civil Engineering ◽  
Common Knowledge ◽  
Measurement Data ◽  
Data Access ◽  
Semantic Knowledge ◽  
Data Sources ◽  
Data Sets ◽  
Extensive Literature ◽  
Distributed Data

<div> <p>Non-destructive testing (NDT) data in civil engineering is regularly used for scientific analysis. However, there is no uniform representation of the data yet. An analysis of distributed data sets across different test objects is therefore too difficult in most cases.</p> <p>To overcome this, we present an approach for an integrated data management of distributed data sets based on Semantic Web technologies. The cornerstone of this approach is an ontology, a semantic knowledge representation of our domain. This NDT-CE ontology is later populated with the data sources. Using the properties and the relationships between concepts that the ontology contains, we make these data sets meaningful also for machines. Furthermore, the ontology can be used as a central interface for database access. Non-domain data sources can be integrated by linking them with the NDT ontology, making them directly available for generic use in terms of digitization. Based on an extensive literature research, we outline the possibilities that result for NDT in civil engineering, such as computer-aided sorting and analysis of measurement data, and the recognition and explanation of correlations.</p> <p>A common knowledge representation and data access allows the scientific exploitation of existing data sources with data-based methods (such as image recognition, measurement uncertainty calculations, factor analysis or material characterization) and simplifies bidirectional knowledge and data transfer between engineers and NDT specialists.</p> </div>

An Architectural Overview of the GRelC Data Access Service

2009 ◽  
pp. 98-108 ◽  
Author(s):  
Sandro Fiore ◽  
Alessandro Negro ◽  
Salvatore Vadacca ◽  
Massimo Cafaro ◽  
Giovanni Aloisio ◽  
...  
Keyword(s):  
Data Access ◽  
Data Grid ◽  
Distributed Data ◽  
Distributed Environment ◽  
Database Access ◽  
Grid Environments ◽  
Grid Database ◽  
Access Service ◽  
Real Challenge ◽  
Grid Storage

Grid computing is an emerging and enabling technology allowing organizations to easily share, integrate and manage resources in a distributed environment. Computational Grid allows running millions of jobs in parallel, but the huge amount of generated data has caused another interesting problem: the management (classification, storage, discovery etc.) of distributed data, i.e., a Data Grid specific issue. In the last decade, many efforts concerning the management of data (grid-storage services, metadata services, grid-database access and integration services etc.) identify data management as a real challenge for the next generation petascale grid environments. This work provides an architectural overview of the GRelC DAS, a grid database access service developed in the context of the GRelC Project and currently used for production/tutorial activities both in gLite and Globus based grid environments.

Research on Virtual Data Access to Oil-Gas Information Integration Platform Based on MTCA-DDA

2013 ◽  
Vol 278-280 ◽  
pp. 1853-1856
Author(s):  
Li Yang ◽  
Xin Yu Gen ◽  
Xie Dong Cao
Keyword(s):  
Information Integration ◽  
Data Access ◽  
Data Cache ◽  
Distributed Data ◽  
Gas Field ◽  
Integration Platform ◽  
Cache Mechanism ◽  
Oil Gas ◽  
Access Efficiency ◽  
Virtual Data

To solve virtual access to distributed oil-gas field data, a new distributed data access model is used to virtual data access center integration platform in oil-gas field.By introducing multi-task cooperative agent (MTCA-DDA), collaboration of MTCA-DDA can efficiently solve distributed data access collaboration problem. Failure server scheme guarantees distributed data continous access. Periodic exchange and data cache mechanism greatly improve data distributed store and access speed.Virtual data access center integration platform shows MTCA-DDA model can improve data access efficiency and enhance the reliability of data access.MTCA-DDA model with periodic exchange and data cache can effectively solve storage and reliability of massive distributed data access and provides a new way for similar distributed application.

Distributed data access in AC

1995 ◽  
Vol 30 (8) ◽  
pp. 39-47
Author(s):  
William W. Carlson ◽  
Jesse M. Draper
Keyword(s):  
Data Access ◽  
Distributed Data

Data access in distributed data base management systems

1979 ◽  
Vol 2 (6) ◽  
pp. 261-270 ◽  
Author(s):  
Fred J. Maryanski ◽  
Paul S. Fisher ◽  
Virgil E. Wallentine
Keyword(s):  
Data Base ◽  
Data Access ◽  
Management Systems ◽  
Distributed Data ◽  
Data Base Management ◽  
Base Management

Transparent data access in a multivendor, distributed data‐acquisition and data processing system

1988 ◽  
Vol 59 (8) ◽  
pp. 1774-1776
Author(s):  
George G. Preckshot ◽  
David N. Butner ◽  
Michael D. Brown ◽  
William H. Meyer
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Processing System ◽  
Data Access ◽  
Distributed Data ◽  
Data Processing System
Sign in / Sign up

Export Citation Format

Share Document