Simbatch Conclusions Objectifs Modèles utilisés API Expérimentations Protocole d’expérimentation 2 types d’expériences Validation par simulation : variation des paramètres → topologie, algo d’ordonnancement.

Comparaison de la modélisation avec une plate-forme d’expérimentation réelle Génération de tâches Inter-arrivées : loi de poisson Nombre de ressources : U(1,5) Durée du calcul .

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Simbatch: an API for simulating and predicting the performance of parallel resources managed by batch systems Yves Caniou and Jean-Sébastien Gay Université de Lyon, LIP / ÉNS Lyon This work is supported by – the LEGO project ANR-05-CIGC-11 – the REDIMPS project JST-CNRS – the cluster Rhône Alpes SGS’08, August 25, 2008. Background: TLSE Simbatch Annexe TLSE GridTLSE Goals.

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Installing and Configuring the Interface 8 SIMCA-online Nodes In SIMCA-online, nodes contain data from a data source, in this case, the PI System.Filter nodes enable you to access specific sets of batches or event frames. For both the batch database and event frames, data archive nodes contain the tags defined in the data archive, and can be searched for PI Batches in a specified time frame.

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The SimBatch simulation model Advanced Herd Management Anders Ringgaard Kristensen Slide 2 System description A batch of slaughter pigs is simulated from insertion of the batch until slaughter. The pigs are fed ad libitum. Sent to a Danish slaughter house. The highest price per kg is obtained in the “optimal” interval from 70 to 84 kg slaughter weight. Delivery is decided on the basis of observed live.