Performance and Reliability Analysis of Computer Systems

An Example-Based Approach Using the SHARPE Software Package
1996
ISBN: 978-0-7923-9650-5
Verlag: Springer US

Buch, Englisch, 404 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1700 g

provides a variety of probabilistic, discrete-state models used to assess the reliability and performance of computer and communication systems. The models included are combinatorial reliability models (reliability block diagrams, fault trees and reliability graphs), directed, acyclic task precedence graphs, Markov and semi-Markov models (including Markov reward models), product-form queueing networks and generalized stochastic Petri nets. A practical approach to system modeling is followed; all of the examples described are solved and analyzed using the SHARPE tool.
In structuring the book, the authors have been careful to provide the reader with a methodological approach to analytical modeling techniques. These techniques are not seen as alternatives but rather as an integral part of a single process of assessment which, by hierarchically combining results from different kinds of models, makes it possible to use state-space methods for those parts of a system that require them and non-state-space methods for the more well-behaved parts of the system.
The SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) package is the `toolchest' that allows the authors to specify stochastic models easily and solve them quickly, adopting model hierarchies and very efficient solution techniques. All the models described in the book are specified and solved using the SHARPE language; its syntax is described and the source code of almost all the examples discussed is provided.
Suitable for use in advanced level courses covering reliability and performance of computer and communications systems and by researchers and practicing engineers whose work involves modeling of system performance and reliability.

Zielgruppe

Research

Autoren/Hrsg.

Sahner, Robin A.

Puliafito, Antonio

Trivedi, Kishor

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Hochleistungsrechnen, Supercomputer
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
• Mathematik | Informatik EDV | Informatik Informatik

Inhaltsverzeichnis

I Modeling Theory.- 1 Distribution Functions.- 2 Reliability and Availability Models.- 3 Series-Parallel Acyclic Directed Graphs.- 4 Markov Models.- 5 Product-Form Queueing Networks.- 6 Performability Models.- 7 Stochastic Petri Net Models.- 8 Semi-Markov Chains.- II Modeling Examples.- 9 Reliability and Availability Modeling.- 10 Performance Modeling.- 11 Hierarchical Models.- 12 Performability Models.- 13 Handling Algorithmic and Numerical Limitations.- III Appendices.- A Sharpe Command Line Syntax.- B Sharpe Language Description.- B.1 Conventions.- B.2 Basic Language Components.- B.3 Specification of Exponential Polynomial Functions.- B.4 Specification of Models.- B.5 Asking for Results.- B.6 Built-in Functions.- B.7 Controlling the Analysis Process.- B.8 Program Constants.- B.9 Summary of Top-level Input Statements.- C Using Sharpe Interactively.- D Algorithm Choices for Phase-Type Markov Chains.- References.