Decision making under uncertainty
ACM Computing Surveys (CSUR)
A tutorial on learning with Bayesian networks
Proceedings of the NATO Advanced Study Institute on Learning in graphical models
Future Generation Computer Systems - Special issue on metacomputing
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
ISAM, a Software Architecture for Adaptive and Distributed Mobile Applications
ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
A Framework for Exploiting Adaptation in Highly Heterogeneous Distributed Processing
SBAC-PAD '02 Proceedings of the 14th Symposium on Computer Architecture and High Performance Computing
Hierarchical submission in a Grid environment
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
Scheduling grid tasks under uncertain demands
Proceedings of the 2008 ACM symposium on Applied computing
EXEHDA: adaptive middleware for building a pervasive grid environment
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
Grid scheduling optimization under conditions of uncertainty
NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
Multi-site scheduling with multiple job reservations and forecasting methods
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
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The heterogeneity and the highly dynamic behavior ofthe grid computing demands a new class of schedulingstrategies. These strategies must not only consider the instantaneousinformation provided by sensors, but also probabilitiesof the information received to keep its values in anear future.