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Analytical Network and System Administration

eBook - Managing Human-Computer Networks

Erschienen am 17.12.2012, Auflage: 2/2012
CHF 107,95
(inkl. MwSt.)

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Bibliografische Daten
ISBN/EAN: 9781118604465
Sprache: Englisch
Umfang: 384 S., 5.80 MB
E-Book
Format: EPUB
DRM: Adobe DRM

Beschreibung

Network and system administration usually refers to the skill of keeping computers and networks running properly.  But in truth, the skill needed is that ofmanaging 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 weaknessesGives advice/guidance as to how to determine optimal policies for system managementIncludes 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.

Autorenportrait

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

Inhalt

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.

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