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About 306 papers for “DataGrid”
Silvano de Gennaro · CERN Bulletin · 2003
DataGrid is a project funded by the European Union that aims to enable access to geographically distributed computing power and storage facilities belonging to different institutions. This will provide scientists with an unprecedented computing and data management tool. DataGrid is led by CERN, together with 20 other scientific and industrial partners.
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Folkes GT, Auden E, Lamb P et al. · Science and Technology Facilities Council
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Lawrence B, Cramer R, Gutierrez M et al. · Science and Technology Facilities Council
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Ming‐Wei Wang, Shusheng Zhang, Jingtao Zhou · 2006
Rapidgrowth andspread ofinformation technology especially network technology enables people to use computersmore naturally andeasily andas a result, more design dataandinformation leave indesigners' desktops. Recent advances ingrid, semantic web,P2P andweb services haverevolutionized theway we communicate andcollaborate andalsomakeitpossible tointegrate desktop data. Undertaking theintersection fulfillment ofthese technologies on enterprise desktop enables new integrative andcollaborative useofnotonly organizational databutalsodistributed, autonomous personal data on thewebbyfully leveraging potentially useful information sources on many desktops. Inthis context, we introduce SDDG (Semantic Desktop Data Grid) a P2P-semantic-grid enabled information sharing infrastructure forentire enterprise information, which wraps bothorganizational andpersonal information sources assemantic grid services andcreates a semantic information interoperability environment following a P2P datacoordination way. Througha discussion of fundamental scientific positions in generaland approaches to information integration research in particular, a three-tier hybrid framework ispresented anddiscussed indetail. Thearchitecture forSDDG isan extension ofour previous workESD [1]byreflecting principles ofP2Pdataintegration insemantic grid.
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CERN Document Server (European Organization for Nuclear Research) · 2003
DataGrid, the European project to build a computational and data-intensive grid infrastructure, is now entering its third year. Thanks to its achievements in 2002, it has just come out of its latest annual review with flying colours.
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Woolf A · Science and Technology Facilities Council
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German Cancio, Cern Steve, Tim Folkes et al. · 2001
This document will evolve during the lifetime of the project. It does not say what will be in any particular prototype but gives a longer view
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Jun Ling · 2004
A distributing structure of information service for DataGrid based on MDS of the extant midware Globus, furnished modules and protocols for DataGrid information service,and it can make DataGrid effectively by storage ,information discovery, visiting and management in terms of an ocean of data.
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Bryan Lawrence Ray, Ray Cramer, Marta Gutierrez et al. · 2003
The NDG project began in September 2002. The aim of the project is to utilise the promise of grid technologies to allow members of a virtual organisation (the NERC community) to share environmental data held in disparate institutions. The NDG virtual organisation will begin with elements of the oceanographic and atmospheric community, but aims to expand to support science requirements of data sharing for earth system science.
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Matthew MacDonald · Apress eBooks · 2004
When it comes to data binding, not all ASP.NET controls are created equal. In the last chapter, you saw how data binding could help you automatically insert single values and lists into all kinds of common controls and even ordinary HTML. In this chapter, you'll concentrate on three more advanced controls—the DataList, DataGrid, and Repeater—which allow you to bind entire tables of data. These controls are sometimes known as template controls because they allow you to use significant formatting and customization features by creating templates. Some of these controls even have additional built-in functionality for selecting, editing, and sorting the displayed information.KeywordsData GridData BindingVisual StudioEvent HandlerData ViewThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Diana Bosio, James Casey, Akos Frohner et al. · 2003
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Liberios Vokorokos, Matúš Uchnár, Eva Chovancová · 2018
Handling of large amounts of data in web applications requires extended components, which would be difficult to implement in each application separately. Therefore, it is advantageous to have a universal data grid solution available, that will simplify data handling tasks and application development. The aim of this work is to enhance a data grid chosen based on analysis of existing solutions, design and implement a solution for deficiencies arising from analysis and study of the issue. The solution was then tested with real users using real data.
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Woolf A, Lawrence B, Lowry R et al. · Science and Technology Facilities Council
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F.Donno, L.Gaido, A.Ghiselli et al. · Istituto Nazionale di Fisica Nucleare. Centro Nazionale Analisi Fotogrammi · 2002
Introduction: Computing and networking technology evolution leads to more powerful computers and to high speed networks as low-cost commodity components. In parallel there is a growth of large-scale computing needs with high number of users widely distributed. This scenario is changing the way to think about-and use-computing resources. One of the most interesting and challenging approaches is the "computational grid" concept. DataGrid (www.eu-datagrid.org) is a European project (EDG) aiming to build a computational grid prototype on the basis of requirements coming from users in the application fields of the High Energy Physics[1], Earth Observations (EO) [2], and Bio-Informatics [3]. The first prototype of DataGrid is in place, since December 2001, with the functionalities foreseen in the release 1 of the project. The purpose of this document is to describe the most important characteristics of the grid proposal, the services of the first prototype and some of the problems emerged from the experience of the first steps of the project.
Cited by 0Open access
Donno F., Gaido L, Ghiselli A. et al. · Istituto Nazionale di Fisica Nucleare. Centro Nazionale Analisi Fotogrammi · 2002
Introduction: Computing and networking technology evolution leads to more powerful computers and to high speed networks as low-cost commodity components. In parallel there is a growth of large-scale computing needs with high number of users widely distributed. This scenario is changing the way to think about-and use-computing resources. One of the most interesting and challenging approaches is the "computational grid" concept. DataGrid (www.eu-datagrid.org) is a European project (EDG) aiming to build a computational grid prototype on the basis of requirements coming from users in the application fields of the High Energy Physics[1], Earth Observations (EO) [2], and Bio-Informatics [3]. The first prototype of DataGrid is in place, since December 2001, with the functionalities foreseen in the release 1 of the project. The purpose of this document is to describe the most important characteristics of the grid proposal, the services of the first prototype and some of the problems emerged from the experience of the first steps of the project.
Cited by 0Open access
CERN Document Server (European Organization for Nuclear Research) · 2002
Description of the European Data Grid, a project financed by the European Union and piloted by CERN, together with five other major partners and 15 associate partners (1 page).
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M.DRAOLI, G.MASCARI. S.TOSI, R.PUCCINELLI · CNR ExploRA · 2001
The document is the main deliverable of the "information dissemination and exploitation" work package of the DataGrid Project. It collects and presents in a formalised and coherent way all the activities carried out in that WP. The aim of the dissemination is to create the critical mass of interest necessary for the deployment on the large scale of the results of the project. In this document the objectives, initiatives and results of the wp11 are presented and expressed in measurable way.
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William Lee Steve, William Lee, Steve Mcgough et al. · 2003
The European DataGrid (EDG)[17] project aims to provide a platform to satisfy the ever-growing demand of high computation and storage requirements across scientific disciplines. Its resource broker is the gateway to a managed set of compute elements for handling the job submission and accounting. In this paper, we present an infrastructure layering on top of the resource brokers for load-balancing job submission requests. The resource broker is abstracted as OGSI compliant services to provide interoperability to heterogeneous submission clients. We demonstrate the use of Javaspace as an information distribution framework for different strategic elements to co-operatively load-balance job submission requests.
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Woolf A, Cramer R, Gutierrez M et al. · Science and Technology Facilities Council
Research in the earth sciences requires access to large and complex datasets.These data include in-situ and remote-sensed observations, and a variety of model output.Storage methods are as diverse as the data types and include numerous file formats and relational database systems.In practice, considerable effort is expended in data handling.Processing software choice is constrained by file format compatibility, and data object representations are coerced onto physical storage artefacts.A key goal of Grid technologies is to facilitate virtualisation of resources.Essential semantic behaviour and content is abstracted from low-level implementation.Virtualisation may be applied to data, storage and computational resources.This paper presents details of the NERC DataGrid data model, and the virtualisation of earth science data it enables.The model is based upon nested hierarchies of multidimensional arrays.Standard profiles of the model are defined for important data types like 4-D gridded meteorological forecast data or oceanographic cruise measurements, for instance.Rich georeferencing information is incorporated.An XML schema provides the mechanism for mapping physical storage artifacts onto the data objects provided by the model.
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V. Breton, M. Medina, J. Montagnat · 2003
this paper, we briefly present the DataGrid project, explain the relevance of the grid concept for genomics and medical imaging and describe the first applications being deployed on DataGrid as a proof of concept of a biomedical grid
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