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» Stochastic Process Algebras
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122
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PE
2000
Springer
95views Optimization» more  PE 2000»
15 years 3 months ago
Compositional performance modelling with the TIPPtool
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...
Holger Hermanns, Ulrich Herzog, Ulrich Klehmet, Va...
156
Voted
SIAMSC
2008
148views more  SIAMSC 2008»
15 years 3 months ago
Multilevel Adaptive Aggregation for Markov Chains, with Application to Web Ranking
A multilevel adaptive aggregation method for calculating the stationary probability vector of an irreducible stochastic matrix is described. The method is a special case of the ada...
Hans De Sterck, Thomas A. Manteuffel, Stephen F. M...
104
Voted
ICML
1998
IEEE
16 years 4 months ago
Using Learning for Approximation in Stochastic Processes
Daphne Koller, Raya Fratkina
PE
2010
Springer
135views Optimization» more  PE 2010»
14 years 10 months ago
Performance evaluation of component-based software systems: A survey
Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
Heiko Koziolek
158
Voted
PE
2011
Springer
167views Optimization» more  PE 2011»
14 years 10 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...