Replica management for national data storage

Authors:
Renata Słota;Darin Nikolow;Marcin Kuta;Mariusz Kapanowski;Kornel Skałkowski;Marek Pogoda;Jacek Kitowski
Affiliations:
Institute of Computer Science, AGH-UST, Kraków, Poland;Institute of Computer Science, AGH-UST, Kraków, Poland;Institute of Computer Science, AGH-UST, Kraków, Poland;Institute of Computer Science, AGH-UST, Kraków, Poland;Institute of Computer Science, AGH-UST, Kraków, Poland;Academic Computer Center CYFRONET-AGH, Kraków, Poland;Institute of Computer Science, AGH-UST, Kraków, Poland and Academic Computer Center CYFRONET-AGH, Kraków, Poland
Venue:
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
Year:
2009

Citing 6
Cited 0

Identifying Dynamic Replication Strategies for a High-Performance Data Grid

GRID '01 Proceedings of the Second International Workshop on Grid Computing
A Predictive Technique for Replica Selection in Grid Environment

CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
A Replica Selection Approach based on Prediction in Data Grid

SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
Open interface for autonomic management of virtualized resources in complex systems - construction methodology

Future Generation Computer Systems
Grid services for HSM systems monitoring

PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Algorithms for automatic data replication in grid environment

PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

National Data Storage is a distributed data storage system intended to provide high quality backup, archiving and data access services. These services guarantee high level of data protection as well as high performance of data storing and retrieval by using replication techniques. In this paper some conceptual and implementation details on creating a Prediction and Load Balancing Subsystem for replica management are presented. Preliminary real system test results are also shown.