Data Management in Grid and Peer-to-Peer Systems
Second International Conference, Globe 2009 Linz, Austria, September 1-2, 2009 Proceedings
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Beschreibung
This book constitutes the refereed proceedings of the Second International Conference on Data Management in Grid and P2P Systems, Globe 2009, held in Linz, Austria, in September 2009.
The 9 revised full papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in topical sections on grid systems, querying in P2P systems, privacy protection for P2P systems, and semantic for P2P systems and applications.
The synergy and convergence of research on grid computing and peer-to-peer (P2P) computing have materialized in the meeting of the two research communities: parallel systems and distributed systems. The main common objective is to harness Internet-connected resources (e.g., CPU, memory, network bandwidth, data sources) at very large scale. In this framework, the Globe Conference tries to consolidate the bidirectional bridge between grid and P2P systems and large-scale heterogeneous distributed database systems. Today, the grid and P2P systems hold a more and more important position in the landscape of the research in large-scale distributed systems, and the applications which require an effective management of voluminous, distributed and heterogeneous data. This importance comes out of characteristics offered by these systems: autonomy and dynamicity of peers, decentralized control for scaling, and transparent sharing large-scale distributed resources. The second edition of the International Conference on Data Management in Grid and P2P Systems was held during September 1-2, 2009 in Linz, Austria. The main objective of this conference was to present the latest results in research and applications, to identify new issues, and to shape future directions.
Autor*in
Abdelkader Hameurlain
Themen in »Data Management in Grid and Peer-to-Peer Systems«
Service-oriented Computing adaptive query processing benchmarking cost models data privacy data security data source catalog data storage and management data stream systems data warehousing database distributed environments distributed query processing dynamic data integration resource management