Paper Info
Title
Toward a Reliable Distributed Data Management System
Abstract
Modern collaborative science has placed increasing burden on data management infrastructure to handle the increasingly large data archives generated. Beside functionality, reliability and availability are also key factors in delivering a data management system that can efficiently and effectively meet the challenges posed and compounded by the unbounded increase in the size of data archive generated by scientific applications. In this paper, we present our work on increasing and improving reliability and availability in the data management system we designed for the PetaShare project, we also discuss our work on benchmarking the performance and scalability of metadata management system in PetaShare project.
Year
DOI
Venue
2010
10.1109/ISPDC.2010.15
Parallel and Distributed Computing
Keywords
Field
DocType
large data archives,data management system,scientific application,data management infrastructure,unbounded increase,petashare project,modern collaborative science,key factor,metadata management system,scalability,technology management,data visualization,concurrent computing,availability,data management,meta data,reliability,distributed system,project management,distributed computing,distributed databases
Metadata,Computer science,Risk analysis (engineering),Distributed database,Metadata management,Data management,Technology management,Database,Benchmarking,Project management,Distributed computing,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-4244-7602-2
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Ismail Akturk1326.56
Xinqi Wang2112.70
Kosar, Tevfik361448.67