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JCIT
2007
159views more  JCIT 2007»
15 years 1 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...
121
Voted
ICS
2000
Tsinghua U.
15 years 5 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
125
Voted
SC
2004
ACM
15 years 7 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 7 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
15 years 3 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...