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ToWARDS AN XML BASED DATAGRiD DESCRiPTioN LANGUAGE

parallel PRoCESSiNG LETTERS 2005年第4期15卷 379-386页

作者： Schikuta, Erich Univ Vienna Inst Comp Sci & Business Informat Rathausstr 19-9 A-1010 Vienna Austria

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. ... 详细信息

关键词： parallel and distributed i/o meta information datagrid distributed file systems

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Using semantic information to guide efficient parallel i/o on clusters 11

Using semantic information to guide efficient parallel I/O o...

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11th iEEE international Symposium on High Performance distributed Computing (HPDC-11)

作者： Schulz, M Tech Univ Munich Lehrstuhl Rechnertech & Rechnerorg LRR TUM Inst Informat D-80290 Munich Germany

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 to include 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.

关键词： parallel and distributed i/o cluster middleware data intensive applications medical image processing distributed data management

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Using Semantic information to Guide Efficient parallel i/o on Clusters 02

Using Semantic Information to Guide Efficient Parallel I/O o...

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Proceedings of the 11th iEEE international Symposium on High Performance distributed Computing

作者： Martin Schulz

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 to include 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.

关键词： Medical image Processing parallel and distributed i/o distributed Data Management Cluster Middleware Data intensive Applications

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