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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hameurlain, Abdelkader (Επιμελητής έκδοσης), Hussain, Farookh Khadeer (Επιμελητής έκδοσης), Morvan, Franck (Επιμελητής έκδοσης), Tjoa, A Min (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Σειρά: Lecture Notes in Computer Science, 7450
• Θέματα: Computer science.; Computer communication systems.; Computer system failures.; Database management.; Data mining.; User interfaces (Computer systems).; Computer Science.; Database Management.; Computer Communication Networks.; Data Mining and Knowledge Discovery.; System Performance and Evaluation.; Information Systems Applications (incl. Internet).; User Interfaces and Human Computer Interaction.

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...

Πίνακας περιεχομένων:

• 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.