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JCIT
2007
159views more  JCIT 2007»
14 years 9 months ago
GDIA: A Scalable Grid Infrastructure for Data Intensive Applications
The applications in many scientific fields, like bioinformatics and high-energy physics etc, increasingly demand the computing infrastructures can provide more computing power and...
Xiaohui Wei, Zhaohui Ding, Wilfred W. Li, Osamu Ta...
ICS
2000
Tsinghua U.
15 years 1 months ago
Compiling object-oriented data intensive applications
Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. High-level language and compiler support for developing ...
Renato Ferreira, Gagan Agrawal, Joel H. Saltz
83
Voted
SC
2004
ACM
15 years 2 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
GRID
2004
Springer
15 years 2 months ago
Phoenix: Making Data-Intensive Grid Applications Fault-Tolerant
A major hurdle facing data intensive grid applications is the appropriate handling of failures that occur in the grid-environment. Implementing the fault-tolerance transparently a...
George Kola, Tevfik Kosar, Miron Livny
ICWS
2004
IEEE
14 years 10 months ago
JClarens: A Java Based Interactive Physics Analysis Environment for Data Intensive Applications
In this paper we describe JClarens; a Java based implementation of the Clarens remote data server. JClarens provides web services for an interactive analysis environment to dynami...
Arshad Ali, Ashiq Anjum, Tahir Azim, Michael Thoma...