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31#
發(fā)表于 2025-3-27 00:17:38 | 只看該作者
The Economic Structure of States,ccess to the grid resources is the crucial to the users’ satisfaction. Using our framework the user achieves comfortable working environment that could be customised, stored and recreated everywhere where the Internet is present...
32#
發(fā)表于 2025-3-27 02:20:56 | 只看該作者
High-Performance GRID Stream Database Manager for Scientific Data,ecution of database queries to streamed numerical data from scientific applications. Very high performance is attained by utilizing many object-relational main-memory database engines connected through the GRID.
33#
發(fā)表于 2025-3-27 09:10:39 | 只看該作者
Mobile Work Environment for Grid Users,ccess to the grid resources is the crucial to the users’ satisfaction. Using our framework the user achieves comfortable working environment that could be customised, stored and recreated everywhere where the Internet is present...
34#
發(fā)表于 2025-3-27 12:44:47 | 只看該作者
35#
發(fā)表于 2025-3-27 16:51:32 | 只看該作者
Ouderen in de geestelijke gezondheidszorgWe briefly describe the authorization requirements, focusing on the framework of the DataGrid and DataTAG Projects and illustrate the architecture of a new service we have developed, the Virtual Organization Membership Service (VOMS), to manage authorization information in Virtual Organization scope.
36#
發(fā)表于 2025-3-27 20:21:35 | 只看該作者
The Contemporary Anthropocentric World,In the paper the architecture for accessing data in the grid environment, developed for EU CrossGrid Project, is presented. The local optimization problems for efficient data access and estimation of data access time are discussed mainly, while the overall architecture is proposed on the base of collaboration with European Data Grid.
37#
發(fā)表于 2025-3-28 01:48:29 | 只看該作者
38#
發(fā)表于 2025-3-28 04:20:32 | 只看該作者
39#
發(fā)表于 2025-3-28 08:03:10 | 只看該作者
40#
發(fā)表于 2025-3-28 10:51:40 | 只看該作者
RAID-1 and Data Stripping across the GRID,Stripping techniques combined with an adequate replication policy across the Grid offer the possibility to improve significatively data access and processing times, while eliminating the need for local data mirroring, so saving significatively on storage costs. First results on a local cluster following a simple strategy are presented.
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