This deliverable describes the methodology and the strategies used to derive the performance models used within the autonomic managers of behavioural skeletons modelling common parallelism exploitation patterns within GCM. In particular, we describe the general features of the functional replication behavioural skeleton as representative of a whole class of GCM composite components modelling classical parallel patterns. Then we outline the methodology used to derive performance models. Eventually, we will shortly discuss the results achieved by implementing autonomic controllers that used that performance models to autonomically take care of performance tuning of these behavioural skeletons.

D.NFCF.03 - Methodology to derive performance models for component and composite components

ALDINUCCI, MARCO;
2008-01-01

Abstract

This deliverable describes the methodology and the strategies used to derive the performance models used within the autonomic managers of behavioural skeletons modelling common parallelism exploitation patterns within GCM. In particular, we describe the general features of the functional replication behavioural skeleton as representative of a whole class of GCM composite components modelling classical parallel patterns. Then we outline the methodology used to derive performance models. Eventually, we will shortly discuss the results achieved by implementing autonomic controllers that used that performance models to autonomically take care of performance tuning of these behavioural skeletons.
2008
http://gridcomp.ercim.org/
Components; autonomic computing; GCM
Marco Aldinucci; Sonia Campa; Patrizio Dazzi; Nicola Tonellotto; Giorgio Zoppi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1512860
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