Data Management 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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Détails bibliographiques
Auteurs principaux : Hameurlain Abdelkader (Directeur de publication), Hussain Farookh Khadeer (Directeur de publication)
Format : Livre
Langue : anglais
Titre complet : Data Management in Cloud, Grid and P2P Systems : 5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012. Proceedings / edited by Abdelkader Hameurlain, Farookh Khadeer Hussain, Franck Morvan, A Min Tjoa.
Publié : Berlin, Heidelberg : Springer Berlin Heidelberg , 2012
Cham : Springer Nature
Collection : Information Systems and Applications, incl. Internet/Web, and HCI ; 7450
Accès en ligne : Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr
Sujets :
Documents associés : Autre format: Data Management in Cloud, Grid and P2P Systems
Autre format: Data Mangement in Cloud, Grid and P2P Systems
  • 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.