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EGC
2005
Springer
14 years 2 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
RTCSA
2005
IEEE
14 years 2 months ago
Optimization of Hierarchically Scheduled Heterogeneous Embedded Systems
We present an approach to the analysis and optimization of heterogeneous distributed embedded systems for hard real-time applications. The systems are heterogeneous not only in te...
Traian Pop, Paul Pop, Petru Eles, Zebo Peng
CORR
2007
Springer
132views Education» more  CORR 2007»
13 years 9 months ago
A Generic Deployment Framework for Grid Computing and Distributed Applications
Deployment of distributed applications on large systems, and especially on grid infrastructures, becomes a more and more complex task. Grid users spend a lot of time to prepare, in...
Areski Flissi, Philippe Merle
IPPS
1999
IEEE
14 years 1 months ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
AINA
2008
IEEE
14 years 3 months ago
LRTG: Scheduling Distributed Real-Time Tasks in Unreliable and Untrustworthy Systems
We consider scheduling distributed real-time tasks in unreliable (e.g., those with arbitrary node and network failures) and untrustworthy systems (e.g., those with Byzantine node ...
Kai Han, Binoy Ravindran, E. Douglas Jensen