Distributed systems for system architects
著者
書誌事項
Distributed systems for system architects
（Advances in distributed computing and middleware, dist1）
Kluwer Academic Publishers, c2001
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注記
Includes bibliographical references (p. [585]-610) and index
内容説明・目次
内容説明
The primary audience for this book are advanced undergraduate students and graduate students. Computer architecture, as it happened in other fields such as electronics, evolved from the small to the large, that is, it left the realm of low-level hardware constructs, and gained new dimensions, as distributed systems became the keyword for system implementation. As such, the system architect, today, assembles pieces of hardware that are at least as large as a computer or a network router or a LAN hub, and assigns pieces of software that are self-contained, such as client or server programs, Java applets or pro tocol modules, to those hardware components. The freedom she/he now has, is tremendously challenging. The problems alas, have increased too. What was before mastered and tested carefully before a fully-fledged mainframe or a closely-coupled computer cluster came out on the market, is today left to the responsibility of computer engineers and scientists invested in the role of system architects, who fulfil this role on behalf of software vendors and in tegrators, add-value system developers, R&D institutes, and final users. As system complexity, size and diversity grow, so increases the probability of in consistency, unreliability, non responsiveness and insecurity, not to mention the management overhead. What System Architects Need to Know The insight such an architect must have includes but goes well beyond, the functional properties of distributed systems.
目次
Preface. Foreword. Part I: Distribution. 1. Distributed Systems Foundations. 2. Distributed System Paradigms. 3. Models of Distributed Computing. 4. Distributed Systems and Platforms. 5. Case Study: VP'63. Part II: Fault Tolerance. 6. Fault-Tolerant Systems Foundations. 7. Paradigms for Distributed Fault Tolerance. 8. Models of Distributed Fault-Tolerant Computing. 9. Dependable Systems and Platforms. 10. Case Study: VP'63. Part III: Real-Time. 11. Real-Time Systems Foundations. 12. Paradigms for Real-Time. 13. Models of Distributed Real-Time Computing. 14. Distributed Real-Time Systems and Platforms. 15. Case Study: VP'63. Part IV: Security. 16. Fundamental Security Concepts. 17. Security Paradigms. 18. Models of Distributed Secure Computing. 19. Secure Systems and Platforms. 20. Case Study: VP'63. Part V: Management. 21. Fundamental Concepts of Management. 22. Paradigms for Distributed Systems Management. 23. Models of Network and Distributed Systems Management. 24. Management Systems and Platforms. 25. Case Study: VP'63. References. Index.
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