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EUROPAR
2007
Springer
13 years 11 months ago
Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations?
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi...
HPDC
2002
IEEE
13 years 10 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
ISORC
2006
IEEE
13 years 11 months ago
Load Balancing Techniques for Distributed Stream Processing Applications in Overlay Environments
Service overlays that support distributed stream processing applications are increasingly being deployed in wide-area environments. The inherent heterogeneous, dynamic and large-s...
Yannis Drougas, Thomas Repantis, Vana Kalogeraki
HCW
2000
IEEE
13 years 9 months ago
Design of a Framework for Data-Intensive Wide-Area Applications
Applications that use collections of very large, distributed datasets have become an increasingly important part of science and engineering. With high performance wide-area networ...
Michael D. Beynon, Tahsin M. Kurç, Alan Sus...
JCIT
2007
159views more  JCIT 2007»
13 years 5 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...