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...
Auteurs principaux : | , |
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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.