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» On Advantages of Grid Computing for Parallel Job Scheduling
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JCIT
2007
159views more  JCIT 2007»
13 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...
CCGRID
2003
IEEE
14 years 2 months ago
The Performance of Processor Co-Allocation in Multicluster Systems
In systems consisting of multiple clusters of processors which are interconnected by relatively slow communication links and which employ space sharing for scheduling jobs, such a...
Anca I. D. Bucur, Dick H. J. Epema
BROADNETS
2006
IEEE
14 years 3 months ago
Distributed Job Scheduling based on Multiple Constraints Anycast Routing
— As the popularity of resource-constrained devices such as hand-held computers increases, a new network service offloading complex processing tasks towards computational resour...
Tim Stevens, Marc De Leenheer, Filip De Turck, Bar...
CCGRID
2008
IEEE
13 years 11 months ago
Formal Verification of a Grid Resource Allocation Protocol
As the adoption of grid technology moves from science to industry, new requirements arise. In todays grid middlewares, the notion of paying for a job is a secondary requirement. In...
Mathias Dalheimer, Franz-Josef Pfreundt, Peter Mer...
DEXA
2005
Springer
148views Database» more  DEXA 2005»
14 years 2 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...