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» Uncertainty in Soft Constraint Problems
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SIAMJO
2008
99views more  SIAMJO 2008»
13 years 7 months ago
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
Many optimization problems are naturally delivered in an uncertain framework, and one would like to exercise prudence against the uncertainty elements present in the problem. In pr...
Marco C. Campi, Simone Garatti
CLOUDCOM
2010
Springer
13 years 5 months ago
Cost-Optimal Outsourcing of Applications into the Clouds
Abstract--Commercial services for provisioning software components and virtual infrastructure in the cloud are emerging. For customers, this creates a multitude of possibilities fo...
Immanuel Trummer, Frank Leymann, Ralph Mietzner, W...
ASPDAC
2006
ACM
146views Hardware» more  ASPDAC 2006»
14 years 1 months ago
A fixed-die floorplanning algorithm using an analytical approach
— Fixed-die floorplanning is an important problem in the modern physical design process. An effective floorplanning algorithm is crucial to improving both the quality and the t...
Yong Zhan, Yan Feng, Sachin S. Sapatnekar
CP
2005
Springer
14 years 1 months ago
Tree Decomposition with Function Filtering
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Martí Sánchez, Javier Larrosa, Pedro...
RTSS
1997
IEEE
13 years 12 months ago
Exploiting skips in periodic tasks for enhancing aperiodic responsiveness
In certain real-time applications, ranging from multimedia to telecommunication systems, timing constraints can be more flexible than scheduling theory usually permits. For exampl...
Marco Caccamo, Giorgio C. Buttazzo