Data Mangement in Cloud, Grid and P2P Systems
5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012, Proceedings
Erschienen am 19. Juli 2012
Buch
Softcover
IX, 113 Seiten
978-3-642-32343-0 (ISBN)
Beschreibung
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.
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.
Weitere Details
Reihe
Auflage
2012 ed.
Sprache
Englisch
Verlagsort
Berlin
Deutschland
Verlagsgruppe
Springer Berlin
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
34 s/w Abbildungen
IX, 113 p. 34 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 8 mm
Gewicht
201 gr
ISBN-13
978-3-642-32343-0 (9783642323430)
DOI
10.1007/978-3-642-32344-7
Schweitzer Klassifikation
Weitere Ausgaben
Andere Ausgaben
Abdelkader Hameurlain | Farookh Khadeer Hussain | Franck Morvan
Data Mangement in Cloud, Grid and P2P Systems
5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012, Proceedings
E-Book
08/2012
Springer
48,14 €
Als Download verfügbar
Inhalt
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.