Details
Knowledge and Data Management in GRIDs
|
106,99 € |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 15.02.2007 |
| ISBN/EAN: | 9780387378312 |
| Sprache: | englisch |
| Anzahl Seiten: | 254 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<P>Data and knowledge play a key role in both current and future GRIDs. The issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by GRID Technologies. Current research activities are leveraging the GRID for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery.</P>
<P>Knowledge and Data Management in GRIDs is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining.</P>
<P>Knowledge and Data Management in GRIDs is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.</P>
<P>Knowledge and Data Management in GRIDs is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining.</P>
<P>Knowledge and Data Management in GRIDs is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.</P>
Grid Data Management.- Accessing Data in Grids Using OGSA-DAI.- Service Choreography for Data Integration on the Grid.- Accessing Web Databases Using OGSA-DAI in BDWorld.- Failure Recovery Alternatives in Grid-Based Distributed Query Processing: A Case Study.- Grid Data Storage.- Conductor: Support for Autonomous Configuration of Storage Systems.- Violin: A Framework for Extensible Block-Level Storage.- Clusterix Data Management System (CDMS) — Architecture and use Cases.- Semantic Grid.- Architectural Patterns for the Semantic Grid.- A Metadata Model for the Discovery and Exploitation of Scientific Studies.- Ideas for the Provision of Ontology Access in Grid Environments.- Semantic Support for Meta-Scheduling in Grids.- Semantic Grid Resource Discovery in Atlas.- Distributed Data Mining.- Wsrf-Based Services for Distributed Data Mining.- Mining Frequent Closed Itemsets from Distributed Repositories.- Distributed Data Mining and Knowledge Management with Networks of Sensor Arrays.
<P>Data and knowledge play a key role in both current and future GRIDs. The issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by GRID Technologies. Current research activities are leveraging the GRID for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery.</P>
<P><STRONG>Knowledge and Data Management in GRIDs</STRONG> is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining.</P>
<P><STRONG>Knowledge and Data Management in GRIDs </STRONG>is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.</P>
<P><STRONG>Knowledge and Data Management in GRIDs</STRONG> is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining.</P>
<P><STRONG>Knowledge and Data Management in GRIDs </STRONG>is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.</P>
Promotes diffusion and use of knowledge-based Grid services for the Semantic Grid and the Knowledge Grid Includes developing semantic-based techniques and tools for supporting data intensive applications Includes designing distributed data analysis techniques and services for information and knowledge extraction on Grids Includes supplementary material: sn.pub/extras
<P>Data and knowledge play a key role in both current and future Grids. Issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by Grid Technologies. Current research activities are leveraging the Grid for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery. Knowledge and Data Management in Grids is the third volume of the CoreGRID series; it brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in Grid and Peer-to-Peer systems. This volume presents the latest Grid solutions and research results in key areas of knowledge and data management such as distributed storage management, Grid databases, Semantic Grid and Grid-aware data mining. Written for a professional audience of researchers and practitioners in industry, this book is also suitable for graduate-level students in computer science.</P>
Diese Produkte könnten Sie auch interessieren:
