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
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Documents associés : Autre format: Data Management in Cloud, Grid and P2P Systems
Autre format: Data Mangement in Cloud, Grid and P2P Systems
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330 |a 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 15 submissions. The papers are organized in topical sections on data management in the cloud, cloud MapReduce and performance evaluation, and data stream systems and distributed data mining. 
359 1 |a 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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