Tai / Meyer / Avizienis Software Performability: From Concepts to Applications

Erscheinungsjahr 2012
ISBN: 978-1-4613-1325-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 347, 202 Seiten, eBook

Reihe: The Springer International Series in Engineering and Computer Science

Computers are currently used in a variety of critical applications, including systems for nuclear reactor control, flight control (both aircraft and spacecraft), and air traffic control. Moreover, experience has shown that the dependability of such systems is particularly sensitive to that of its software components, both the system software of the embedded computers and the application software they support. Software Performability: From Concepts to Applications addresses the construction and solution of analytic performability models for critical-application software. The book includes a review of general performability concepts along with notions which are peculiar to software performability. Since fault tolerance is widely recognized as a viable means for improving the dependability of computer system (beyond what can be achieved by fault prevention), the examples considered are fault-tolerant software systems that incorporate particular methods of design diversity and fault recovery. Software Performability: From Concepts to Applications will be of direct benefit to both practitioners and researchers in the area of performance and dependability evaluation, fault-tolerant computing, and dependable systems for critical applications. For practitioners, it supplies a basis for defining combined performance-dependability criteria (in the form of objective functions) that can be used to enhance the performability (performance/dependability) of existing software designs. For those with research interests in model-based evaluation, the book provides an analytic framework and a variety of performability modeling examples in an application context of recognized importance. The material contained in this book will both stimulate future research on related topics and, for teaching purposes, serve as a reference text in courses on computer system evaluation, fault-tolerant computing, and dependable high-performancecomputer systems.

Zielgruppe

Research

Autoren/Hrsg.

Tai, Ann T.

Meyer, John F.

Avizienis, Algirdas

Inhaltsverzeichnis

1 Introduction.- 1.1 Need for Unified Measures.- 1.2 Basic Definitions and Associated Terminology.- 1.3 Overview of Chapters.- 2 General Concepts and Applications of Performability Modeling.- 2.1 Concepts.- 2.2 Developments and Applications.- 3 Framework of Software Performability Modeling.- 3.1 Overview.- 3.2 Formal Framework.- 4 Viable Techniques for Model Construction and Solution.- 4.1 Introduction.- 4.2 Modeling Techniques.- 4.3 Using Different Modeling Techniques: Examples.- 5 Case Study I: Comparative Studies of Fault-Tolerant Software.- 5.1 Introduction.- 5.2 General Approach.- 5.3 RB Model.- 5.4 Basic NVP Model.- 5.5 Comparative Evaluation Results.- 5.6 Improving Effectiveness.- 5.7 Conclusion.- 6 Case Study II: Performability-Management Oriented Adaptive Fault Tolerance.- 6.1 Introduction.- 6.2 An Adaptive Fault-Tolerant System.- 6.3 Performability Variable.- 6.4 Base Model Construction and Solution.- 6.5 Adaptive Rule Generation.- 6.6 Analysis.- 6.7 Discussion.- 7 Case Study III: Performability Management in Distributed Database Systems.- 7.1 Introduction.- 7.2 Background.- 7.3 Performability Models.- 7.4 Evaluation and Discussion.- 7.5 Summary and Future Work.- References.- A San Specifications.- A.1 SAN Model for Synchronized Checkpointing.- A.2 SAN Model for Asynchronous Checkpointing.- B Sample Mathematica Programs and Outputs.- B.1 Mathematica Program for Performability Evaluation of RB.- B.2 Mathematica Output for Performability Evaluation of RB.- B.3 Mathematica Program for Performability Evaluation of Basic NVP.- B.4 Mathematica Output for Performability Evaluation of Basic NVP.- B.5 Mathematica Program for Performability Evaluation of NVP-TB.- B.6 Mathematica Output for Performability Evaluation of NVP-TB.