Burgess Analytical Network and System Administration
1. Auflage 2005
ISBN: 978-0-470-86106-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Managing Human-Computer Systems
E-Book, Englisch, 382 Seiten, E-Book
ISBN: 978-0-470-86106-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Network and system administration usually refers to theskill of keeping computers and networks running properly. Butin truth, the skill needed is that of managingcomplexity. This book describes the science behindthese complex systems, independent of the actual operating systemsthey work on.
It provides a theoretical approach to systems administrationthat:
* saves time in performing common system administrationtasks.
* allows safe utilization of untrained and trained help inmaintaining mission-critical systems.
* allows efficient and safe centralized networkadministration.
Managing Human-Computer Networks:
* Will show how to make informed analyses and decisions aboutsystems, how to diagnose faults and weaknesses
* Gives advice/guidance as to how to determine optimal policiesfor system management
* Includes exercises that illustrate the key points of thebook
The book provides a unique approach to an old problemand will become a classic for researchers and graduatestudents in Networking and Computer Science, as well as practicingsystem managers and system administrators.
Autoren/Hrsg.
Weitere Infos & Material
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.
