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JCIT
2007
159views more  JCIT 2007»
8 years 10 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...
DPD
2006
141views more  DPD 2006»
8 years 10 months ago
Efficient parallel processing of range queries through replicated declustering
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
DPD
2006
114views more  DPD 2006»
8 years 10 months ago
A novel approach to resource scheduling for parallel query processing on computational grids
Advances in network technologies and the emergence of Grid computing have both increased the need and provided the infrastructure for computation and data intensive applications to...
Anastasios Gounaris, Rizos Sakellariou, Norman W. ...
LCPC
2000
Springer
9 years 1 months ago
Compiling Data Intensive Applications with Spatial Coordinates
Abstract. Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. We are developing a compiler which processes da...
Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel ...
VLDB
1999
ACM
148views Database» more  VLDB 1999»
9 years 2 months ago
Loading a Cache with Query Results
Data intensive applications today usually run in either a clientserver or a middleware environment. In either case, they must efficiently handle both database queries, which proc...
Laura M. Haas, Donald Kossmann, Ioana Ursu
ICS
1999
Tsinghua U.
9 years 2 months ago
Performance impact of proxies in data intensive client-server applications
Large client-server data intensive applications can place high demands on system and network resources. This is especially true when the connection between the client and server s...
Michael D. Beynon, Alan Sussman, Joel H. Saltz
HPDC
1999
IEEE
9 years 2 months ago
A Network-Aware Distributed Storage Cache for Data Intensive Environments
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware se...
Brian Tierney, Jason Lee, Brian Crowley, Mason Hol...
CCGRID
2003
IEEE
9 years 3 months ago
Chameleon: A Resource Scheduler in A Data Grid Environment
Grid computing is moving into two ways. The Computational Grid focuses on reducing execution time of applications that require a great number of computer processing cycles. The Da...
Sang-Min Park, Jai-Hoon Kim
GRID
2004
Springer
9 years 3 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
WETICE
2005
IEEE
9 years 3 months ago
Data access optimization on grid systems
— The execution of data intensive grid applications still raises several questions regarding job scheduling, data migration and replication. The optimization techniques applied b...
László Csaba Lorincz, Tamás K...
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