Data Mangement in Cloud, Grid and P2P Systems
5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012, Proceedings
Published on 19. July 2012
Book
Paperback/Softback
IX, 113 pages
978-3-642-32343-0 (ISBN)
Description
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.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
34 s/w Abbildungen
IX, 113 p. 34 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
201 gr
ISBN-13
978-3-642-32343-0 (9783642323430)
DOI
10.1007/978-3-642-32344-7
Schweitzer Classification
Other editions
Additional editions
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
Available for download
Content
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.