We present xDGDL, an approach towards a concise but comprehensive Datagrid description language. our framework is based on XML and allows to store syntactical and semantical information together with arbitrary files. ...
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We present xDGDL, an approach towards a concise but comprehensive Datagrid description language. our framework is based on XML and allows to store syntactical and semantical information together with arbitrary files. This information can be used to administer, locate, search and process data stored on the Grid.
Despite the large i/o capabilities in modern cluster architectures with. local disks on each node, applications mostly are not enabled to fully exploit them. This is especially problematic for data intensive applicati...
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ISBN:
(纸本)0769516866
Despite the large i/o capabilities in modern cluster architectures with. local disks on each node, applications mostly are not enabled to fully exploit them. This is especially problematic for data intensive applications which often suffer from low i/o performance. As one solution for this problem, a Distribution i/o Management (DioM) system has been developed to manage a transparent distribution of data across cluster nodes and to then allow applications to access, this. data purely from local disks. in order to be effective,. however this distribution process requires semantic information about both the application and the input data. This work therefore extends DioM toinclude independent specifications for both dataformats and application i/o patterns and thereby decouples them. This work is driven by an application from nuclear medical imaging, the reconstruction of PET images, for which DioM has proven to be an adequate solution enabling truly scalable i/o and thereby improving the overall application performance.
Despite the large i/o capabilities in modern cluster architectures with local disks on each node, applications mostly are not enabled to fully exploit them. This is especially problematic for data intensive applicatio...
详细信息
ISBN:
(纸本)9780769516868
Despite the large i/o capabilities in modern cluster architectures with local disks on each node, applications mostly are not enabled to fully exploit them. This is especially problematic for data intensive applications which often suffer from low i/o performance. As one solution for this problem, a Distribution i/o Management (DioM) system has been developed to manage a transparent distribution of data across cluster nodes and to then allow applicationsto access this data purely from local disks. in order to be effective, however, this distribution process requires semantic information about both the application and the input data. This work therefore extends DioM toinclude independent specifications for both data formats and application i/o patterns and thereby decouples them. This work is driven by an application from nuclear medical imaging, the reconstruction of PET images, for which DioM has provento be an adequate solution enabling truly scalable i/o and thereby improving the overall application performance.
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