Analytical Network and System Administration: Managing Human-Computer Networks

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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.Content: Chapter 1 Introduction (pages 1–11): Chapter 2 Science and Its Methods (pages 13–23): Chapter 3 Experiment and Observation (pages 25–43): Chapter 4 Simple Systems (pages 45–58): Chapter 5 Sets, States and Logic (pages 59–72): Chapter 6 Diagrammatical Representations (pages 73–89): Chapter 7 System Variables (pages 91–96): Chapter 8 Change in Systems (pages 97–107): Chapter 9 Information (pages 109–134): Chapter 10 Stability (pages 135–157): Chapter 11 Resource Networks (pages 159–172): Chapter 12 Task Management and Services (pages 173–189): Chapter 13 System Architectures (pages 191–205): Chapter 14 System Normalization (pages 207–214): Chapter 15 System Integrity (pages 215–230): Chapter 16 Policy and Maintenance (pages 231–247): Chapter 17 Knowledge, Learning and Training (pages 249–261): Chapter 18 Policy Transgressions and Fault Modelling (pages 263–294): Chapter 19 Decision and Strategy (pages 295–330): Chapter 20 Conclusions (pages 331–334):

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