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Thursday, August 6, 2020 | History

4 edition of Formal methods and stochastic models for performance evaluation found in the catalog.

Formal methods and stochastic models for performance evaluation

EPEW 2006 (2006 Budapest, Hungary)

Formal methods and stochastic models for performance evaluation

Third European Performance Engineering Workshop, EPEW 2006, Budapest, Hungary, June 21-22, 2006 : proceedings

by EPEW 2006 (2006 Budapest, Hungary)

  • 204 Want to read
  • 14 Currently reading

Published by Springer in Berlin, New York .
Written in English

    Subjects:
  • Formal methods (Computer science) -- Congresses.,
  • Stochastic models -- Congresses.,
  • Computer systems -- Evaluation -- Congresses.

  • Edition Notes

    Includes bibliographical references and index.

    Other titlesEuropean Performance Engineering Workshop, EPEW 2006, EPEW 2006
    StatementAndrás Horváth, Miklós Telek (eds.).
    GenreCongresses.
    SeriesLecture notes in computer science -- 4054
    ContributionsHorváth, András., Telek, Miklós.
    Classifications
    LC ClassificationsQA76.9.F67 E64 2006
    The Physical Object
    Paginationviii, 237 p. :
    Number of Pages237
    ID Numbers
    Open LibraryOL17899610M
    ISBN 103540353623
    LC Control Number2006927343

    This is the first book presenting a stochastic extension of process algebra, PEPA; this is shown to be suitable for specifying a Markov process, which can then be applied to performance modelling. The method, which is illustrated with case studies taken from the area of communication systems, can readily be used to construct a variety of models that can be analysed using standard numerical. Model checking is a formal verification procedure by which given a (discrete-state) model M and a property formally expressed in terms of a temporal logic formula φ, an algorithm automatically decides whether φ holds in M (denoted M ⊨ φ).In the case of stochastic models (i.e., stochastic model checking [48]) formulae are associated with a measure of probability and verifying M ⊨ φ.

    EVALUATION MODELS AND APPROACHES The following models and approaches are frequently mentioned in the evaluation literature. Behavioral Objectives approach focuses on the degree to which the objectives of a program, product, or process have been achieved. The major question guiding this kind of evaluation is, “Is the program. Thus, availability and performance models (Maciel et al., ) are quite important, as different designs and architectures can be evaluated before implementing the real system. This paper presents an approach based on stochastic models for performance and availability evaluation of Cited by: 2.

    Sadre, R, Haverkort, BRHM & Reinelt, P , A Fixed-Point Algorithm for Closed Queueing Networks. in K Wolter (ed.), Formal Methods and Stochastic Models for Performance Evaluation, Fourth European Performance Engineering Workshop, EPEW , /_12, Lecture Notes in Computer Science, no. LNCS, vol. , Springer, pp. , 4th European Performance Cited by: 3. Workload Models for Stochastic Networks: Value Functions and Performance Evaluation Sean Meyn Fellow, IEEE Abstract—This paper concerns control and performance eval-uation for stochastic network models. Structural properties of value functions are developed for controlled Brownian motion (CBM) and deterministic (fluid) workload-models.


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Formal methods and stochastic models for performance evaluation by EPEW 2006 (2006 Budapest, Hungary) Download PDF EPUB FB2

Formal Methods and Stochastic Models for Performance Evaluation Third European Performance Engineering Workshop, EPEWBudapest, Hungary, June Formal Methods and Stochastic Models for Performance Evaluation Third European Performance Engineering Workshop, EPEWBudapest, Hungary, June, Proceedings.

Editors: Horváth, András, Telek, Miklós (Eds.) Free PreviewBrand: Springer-Verlag Berlin Heidelberg. Formal Methods and Stochastic Models for Performance Evaluation Fourth European Performance Engineering Workshop, EPEWBerlin, Germany, SeptemberFormal Methods and Stochastic Models for Performance Evaluation Fourth European Performance Engineering Workshop, EPEWBerlin, Germany, September, Proceedings.

Editors: Wolter, Katinka (Ed.) Free Preview. Formal Methods for Performance Evaluation. class of stochastic models that forms a cornerstone of the estimation of system model's performance [68].

The use of formal methods Author: Ulrich Herzog. Formal Methods and Stochastic Models for Performance Evaluation, Fourth European Performance Engineering Workshop, EPEWBerlin, Germany, September 27 Author: Katinka Wolter.

Add tags for "Formal methods and stochastic models for performance evaluation: Third European Performance Engineering Workshop, EPEWBudapest, Hungary, June. Get this from a library. Formal methods and stochastic models for performance evaluation: Fourth European Performance Engineering Workshop, EPEWBerlin, Germany, September, proceedings.

[Katinka Wolter;]. The main goal of this contribution is to advocate the increased use of formal methods (FM) in the field of performance evaluation (PE). Moreover, we try to reduce the mutual reservations between both areas, formal specification techniques and performance evaluation since both can profit from such an integration: FMs may find their way into a new and very attractive area of applications and Cited by:   New Book Formal Methods for Performance Evaluation: 7th International School on Formal Methods for.

This book presents a set of 11 papers accompanying the lectures of leading researchers given at the 7th edition of the International School on Formal Methods for the Design of Computer, Communication and Software Systems, SFMheld in Bertinoro, Italy in May/June SFM was devoted to formal techniques for performance evaluation and covered several aspects of the field, including.

In process calculus a stochastic probe is a measurement device that measures the time between arbitrary start and end events over a stochastic process algebra model.

References This computer science article is a stub. You can help. The main goal of this contribution is to advocate the increased use of formal methods (FM) in the field of performance evaluation (PE).

Moreover, we try to reduce the mutual reservations between both areas, formal specification techniques and performance evaluation since both can profit from such an integration: FMs may find their way into a new and very attractive area of applications and.

Implementation of Importance Splitting Techniques in Stochastic Petri Net Package.- FluidSim: A Tool to Simulate Fluid Models of High-Speed Networks.- Formal Methods and Performance Evaluation.- Exploiting Modal Logic to Express Performance Measures.- Derivation of Petri Net Performance Models from UML Specifications of Communications Software.-Pages: Summary.

Illustrated with real-life manufacturing examples, Formal Methods in Manufacturing provides state-of-the-art solutions to common problems in manufacturing ng some knowledge of discrete event systems theory, the book first delivers a detailed introduction to the most important formalisms used for the modeling, analysis, and control of manufacturing systems (including.

DOWNLOAD NOW» This book presents the different models of supply chain performance evaluation for global supply chains. It describes why it is necessary to evaluate global performance both to assess the contribution of the supply chain to achieve the goals of creating value throughout the chain and also to meet customer requirements in terms of time, responsiveness and reliability.

method that would be best for all possible models, even if these models were subject to the same random phenomena. When comparing scenario generation methods, we focus on practical performance, not on the the-oretical properties: it may be comforting to know that a.

A canonical representation of order 3 phase type distributions. In Formal Methods and Stochastic Models for Performance Evaluation - Fourth European Performance Engineering Workshop, EPEWProceedings.

Cited by: Performability Modeling of Distributed Systems and Its Formal Methods Representation: /ch A distributed system is a complex system.

Developing complex systems is a demanding task when attempting to achieve functional and non-functional propertiesAuthor: Razib Hayat Khan.

Illustrated with real-life manufacturing examples, Formal Methods in Manufacturing provides state-of-the-art solutions to common problems in manufacturing ng some knowledge of discrete event systems theory, the book first delivers a detailed introduction to the most important formalisms used for the modeling, analysis, and control of manufacturing systems (including Petri nets Format: Paperback.

This wonderful book is posed to become THE reference on the subject of stochastic orders. It replaces a good but a bit outdated book by Shaked and Shanthikumar and even more outdated book by Stoyan. A great improvement over these two books is a large section devoted to applications of stochastic orders to a variety of practical by: evaluations focused on various objects other than programs.

The book Eval-uation Models(Madaus, Scriven, and Stufflebeam, ) provided a previ-ous inventory and analysis of evaluation models.3 All of the assessments helped sharpen the issues addressed.

3An extensive revised and updated edition of Evaluation Models (Stufflebeam, Madaus.STOCHASTIC MODELS OF UNCERTAINTY. To illustrate some of the concepts described in Chapter 4, two examples of stochastic models of uncertainty involved in decision-making problems related to P&R are first example concerns trade-offs among skill capacities and readiness of resources given uncertainty around the demand for such resources, which relate to P&R missions associated .