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CCGRID
2008
IEEE
15 years 3 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
ESCIENCE
2007
IEEE
15 years 3 months ago
Intelligent Selection of Fault Tolerance Techniques on the Grid
The emergence of computational grids has lead to an increased reliance on task schedulers that can guarantee the completion of tasks that are executed on unreliable systems. There...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
CP
2008
Springer
14 years 11 months ago
A Constraint Programming Approach for Allocation and Scheduling on the CELL Broadband Engine
The Cell BE processor provides both scalable computation power and flexibility, and it is already being adopted for many computational intensive applications like aerospace, defens...
Luca Benini, Michele Lombardi, Michela Milano, Mar...
ESCIENCE
2006
IEEE
15 years 3 months ago
An Adaptive Algorithm for Information Dissemination in Self-Organizing Grids
Effective scheduling in large-scale computational grids is challenging because it requires tracking the dynamic state of the large number of distributed resources that comprise th...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
ICDE
2000
IEEE
115views Database» more  ICDE 2000»
15 years 10 months ago
Optimization Techniques for Data-Intensive Decision Flows
For an enterprise to take advantage of the opportunities afforded by electronic commerce it must be able to make decisions about business transactions in near-realtime. In the com...
Bharat Kumar, François Llirbat, Gang Zhou, ...