Data Management in Grid and Peer-to-Peer Systems

1. Front Matter

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2. P2P Storage Systems and Caching

   1. A File Transfer Service with Client/Server, P2P and Wide Area Storage Protocols

      • Gilles Fedak, Haiwu He, Franck Cappello

      Pages 1-11

   2. A Study of Reconstruction Process Load in P2P Storage Systems

      • Ghislain Secret, Gil Utard

      Pages 12-21

   3. Subrange Caching: Handling Popular Range Queries in DHTs

      • Marc Sànchez-Artigas, Pedro García-López, Antonio G. Skarmeta

      Pages 22-33

   4. Context-Aware Cache Management in Grid Middleware

      • Fabrice Jouanot, Laurent d’Orazio, Claudia Roncancio

      Pages 34-45

3. P2P Data Integration Systems

   1. Query Propagation in a P2P Data Integration System in the Presence of Schema Constraints

      • Tadeusz Pankowski

      Pages 46-57

   2. Dynamic Source Selection in Large Scale Mediation Systems

      • Alexandra Pomares, Claudia Roncancio, José Abásolo, Pilar Villamil

      Pages 58-69

   3. Information Sharing Agents in a Peer Data Exchange System

      • Leopoldo Bertossi, Loreto Bravo

      Pages 70-81

4. Querying in Grid and P2P Systems

   1. Correlated Query Process and P2P Execution

      • Qiming Chen, Meichun Hsu

      Pages 82-92

   2. Multi-set DHT for Range Queries on Dynamic Data for Grid Information Service

      • Georges Da Costa, Salvatore Orlando, Marios D. Dikaiakos

      Pages 93-104

   3. Experimenting the Query Performance of a Grid-Based Sensor Network Data Warehouse

      • Alfredo Cuzzocrea, Abhas Kumar, Vincenzo Russo

      Pages 105-119

5. Back Matter

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First International Conference on Data Management in Grid and Peer-to-Peer (P2P) Systems, Globe 2008 Data management can be achieved by different types of systems: from centralized file management systems to grid and P2P systems passing through distributed systems, par- lel systems, and data integration systems. An increase in the demand of data sharing from different sources accessible through networks has led to proposals for virtual data in- gration approach. The aim of data integration systems, based on the mediator-wrapper architecture, is to provide uniform access to multiple distributed, autonomous and h- erogeneous data sources. Heterogeneity may occur at various levels (e. g. , different ha- ware platforms, operating systems, DBMS). For more than ten years, research topics such as grid and P2P systems have been very active and their synergy has been pointed out. They are important for scale d- tributed systems and applications that require effective management of voluminous, distributed, and heterogeneous data. This importance comes out of characteristics offered by these systems (e. g. , autonomy and the dynamicity of nodes, decentralized control for scaling). Today, the grid and P2P systems intended initially for intensive computing and file sharing are open to the management of voluminous, heteroge- ous, and distributed data in a large-scale environment.

• Peer
• cost model
• data integration and metadata management
• data storage and management
• data stream systems
• data warehousing
• distributed query languages
• distributed systems
• dynamic data placement issues
• flexible and adaptive query processing
• grid computing
• query processing and optimization
• data structures

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