Current research activities are leveraging the Grid to create 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 gathers 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 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, it is suitable for graduate-level students in computer science.
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.
From the reviews: "This edited book is an early attempt by primarily European researchers to harness and expand the use of grid technologies in accessing distributed sources for sharing, and also to extract and produce knowledge. ... Overall, the book is well organized and the selected material represents a very interesting range of topics. The expected audience is academics with interests in distributed systems and databases, or grid practitioners who are interested in extending grid technologies to knowledge extraction management and data manipulation." (George Dimitoglou, Computing Reviews, January, 2008)
Springer-verlag New York Inc.
Springer-Verlag New York Inc.
Place of Publication
New York, NY
Country of Publication
Domenico Talia, Angelos Bilas, Marios D. Dikaiakos
KNOWLEDGE & DATA MGMT IN GRIDS
76 black & white illustrations, 5 black & white tables, biography
Softcover of Or