Mark Burgess

Analytical Network and System Administration (eBook, PDF)

Managing Human-Computer Networks

• Format: PDF

Produktbeschreibung

Network and system administration usually refers to the skill of keeping computers and networks running properly. But in truth, the skill needed is that of managing complexity. This book describes the science behind these complex systems, independent of the actual operating systems they work on. It provides a theoretical approach to systems administration that: * saves time in performing common system administration tasks. * allows safe utilization of untrained and trained help in maintaining mission-critical systems. * allows efficient and safe centralized network administration. Managing Human-Computer Networks: * Will show how to make informed analyses and decisions about systems, how to diagnose faults and weaknesses * Gives advice/guidance as to how to determine optimal policies for system management * Includes exercises that illustrate the key points of the book The book provides a unique approach to an old problem and will become a classic for researchers and graduate students in Networking and Computer Science, as well as practicing system managers and system administrators.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 382
• Erscheinungstermin: 11. April 2005
• Englisch
• ISBN-13: 9780470861066
• Artikelnr.: 38213953

Autorenporträt

Mark Burgess is an Associate Professor at University College in Oslo, Norway,

Inhaltsangabe

Foreword.

Preface.

1. Introduction.

2. Science and its methods.

3. Experiment and observation.

4. Simple systems.

5. Sets, states and logic.

6. Diagrammatical representations.

7. System variables.

8. Change in systems.

9. Information.

10. Stability.

11. Resource networks.

12. Task management and services.

13. System architectures.

14. System normalization.

15. System integrity.

16. Policy and maintenance.

17. Knowledge, learning and training.

18. Policy transgressions and fault modelling.

19. Decision and strategy.

20. Conclusions.

A. Some Boolean formulae.

B. Statistical and scaling properties of time-series data.

C. Percolation conditions.

Bibliography.

Index.