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Quantitative Methods in Parallel Systems

  • François Baccelli
  • Alain Jean-Marie
  • Isi Mitrani

Part of the Esprit Basic Research Series book series (ESPRIT BASIC)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Formalisms

    1. Front Matter
      Pages 1-1
    2. N. Götz, H. Hermanns, U. Herzog, V. Mertsiotakis, M. Rettelbach
      Pages 3-17
    3. P. G. Harrison, B. Strulo
      Pages 18-37
    4. S. Donatelli, H. Hermanns, J. Hillston, M. Ribaudo
      Pages 38-51
    5. E. Teruel, M. Silva, J. M. Colom, J. Campos
      Pages 52-65
  3. Techniques

    1. Front Matter
      Pages 67-67
    2. F. Baccelli, B. Gaujal, A. Jean-Marie, J. Mairesse
      Pages 69-98
    3. I. Mitrani, A. Ost, M. Rettelbach
      Pages 99-113
    4. S. Chabridon, E. Gelenbe, M. Hernández, A. Labed
      Pages 114-128
    5. O. J. Boxma, G. M. Koole, I. Mitrani
      Pages 129-140
    6. P. G. Harrison, E. Pitel
      Pages 153-160
    7. G. Chiola, C. Anglano, J. Campos, J. M. Colom, M. Silva
      Pages 161-174
    8. J. Campos, J. M. Colom, H. Jungnitz, M. Silva
      Pages 175-188
  4. Applications

  5. Back Matter
    Pages 291-299

About this book

Introduction

It is widely recognized that the complexity of parallel and distributed systems is such that proper tools must be employed during their design stage in order to achieve the quantitative goals for which they are intended. This volume collects recent research results obtained within the Basic Research Action Qmips, which bears on the quantitative analysis of parallel and distributed architectures. Part 1 is devoted to research on the usage of general formalisms stemming from theoretical computer science in quantitative performance modeling of parallel systems. It contains research papers on process algebras, on Petri nets, and on queueing networks. The contributions in Part 2 are concerned with solution techniques. This part is expected to allow the reader to identify among the general formalisms of Part I, those that are amenable to an efficient mathematical treatment in the perspective of quantitative information. The common theme of Part 3 is the application of the analytical results of Part 2 to the performance evaluation and optimization of parallel and distributed systems. Part 1. Stochastic Process Algebras are used by N. Gotz, H. Hermanns, U. Herzog, V. Mertsiotakis and M. Rettelbach as a novel approach for the struc­ tured design and analysis of both the functional behaviour and performability (i.e performance and dependability) characteristics of parallel and distributed systems. This is achieved by integrating stochastic modeling and analysis into the powerful and well investigated formal description techniques of process algebras.

Keywords

Processing algebra algorithmics algorithms calculus computer computer architecture distributed memory distributed systems modelling networks optimization performance scheduling simulation

Editors and affiliations

  • François Baccelli
    • 1
  • Alain Jean-Marie
    • 1
  • Isi Mitrani
    • 2
  1. 1.INRIA Institut National de Recherche en Informatique et en Automatique 2004Valbonne CedexFrance
  2. 2.Department of Computing ScienceUniversity of NewcastleNewcastle upon TyneUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-79917-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 1995
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-79919-8
  • Online ISBN 978-3-642-79917-4
  • Buy this book on publisher's site