Data Mangement in Cloud, Grid and P2P Systems 5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012, Proceedings /

This book constitutes the refereed proceedings of the 5th International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2012, held in Vienna, Austria, in September 2012 in conjunction with DEXA 2012. The 9 revised full papers presented were carefully reviewed and selected from...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hameurlain, Abdelkader (Editor ), Hussain, Farookh Khadeer (Editor ), Morvan, Franck (Editor ), Tjoa, A Min (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 7450
Temas:
Database management.
Computer networks .
Data mining.
Electronic digital computers > Evaluation.
Application software.
User interfaces (Computer systems).
Human-computer interaction.
Database Management.
Computer Communication Networks.
Data Mining and Knowledge Discovery.
System Performance and Evaluation.
Computer and Information Systems Applications.
User Interfaces and Human Computer Interaction.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • TransElas: Elastic Transaction Monitoring for Web2.0 Applications.- Recoverable Encryption through Noised Secret over a Large Cloud
  • A Bigtable/MapReduce-Based Cloud Infrastructure for Effectively and Efficiently Managing Large-Scale Sensor Networks
  • MapReduce Applications in the Cloud: A Cost Evaluation of Computation and Storage
  • Scalability Issues in Designing and Implementing Semantic Provenance Management Systems
  • Performance Characteristics of Virtualized Platforms from Applications Perspective
  • Open Execution Engines of Stream Analysis Operations
  • Improving Content Delivery by Exploiting the Utility of CDN Servers.-  Using MINING@HOME for Distributed Ensemble Learning. Recoverable Encryption through Noised Secret over a Large Cloud
  • A Bigtable/MapReduce-Based Cloud Infrastructure for Effectively and Efficiently Managing Large-Scale Sensor Networks
  • MapReduce Applications in the Cloud: A Cost Evaluation of Computation and Storage
  • Scalability Issues in Designing and Implementing Semantic Provenance Management Systems
  • Performance Characteristics of Virtualized Platforms from Applications Perspective
  • Open Execution Engines of Stream Analysis Operations
  • Improving Content Delivery by Exploiting the Utility of CDN Servers.-  Using MINING@HOME for Distributed Ensemble Learning.

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