Autonomic network management principles : from concepts to applications /
Autonomic networking aims to solve the mounting problems created by increasingly complex networks, by enabling devices to decide, without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, self-adapting their behavi...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Burlington, MA :
Academic Press/Elsevier,
2011
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| Local Note: | ProQuest Ebook Central |
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| 100 | 1 | |a Agoulmine, Nazim. | |
| 245 | 1 | 0 | |a Autonomic network management principles : |b from concepts to applications / |c Nazim Agoulmine. |
| 260 | |a Burlington, MA : |b Academic Press/Elsevier, |c ©2011. | ||
| 300 | |a 1 online resource (xvii, 288 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a General Introduction and Principles; What is the situation today and why it is important to investigate into new approaches?; What is the vision of autonomic network management?; What can autonomic principles could add to existing management solutions?; What are the existing autonomic techniques? Where have they been successfully applied?; Why is it a challenge to apply them to build autonomic network management solutions?; Structure of the book; Autonomic Network Management Architectures and Applications; Autonomic Management in RAN; Management of Ambient Networks; Autonomic Network Architecture; FOCALE Autonomic Network Management Architecture; Autonomic Architecture for WSN Management; Techniques and Mechanisms for Autonomics Network Management; Bio-Inspired Autonomic Routing; Autonomic Capacity Planning in Beyond 3G Networks; Self-organizing Network Architecture for Scalable, Adaptive, and Robust Networking; ANEMA Knowledge Plan Construction for Autonomic Management; Autonomic Security Management; Conclusion and General Recommendations for Future Autonomic Network Management Architectures; What are the lessons learned from these projects?; Is it possible to unify the architecture and approaches (BAN, HAN, LAN, WAN)?; Should we have one Autonomic Architecture or several Architectures?; Are the different approaches using similar knowledge engineering approaches?; Is it possible to unify the knowledge engineering part only? What more is needed?; What are the final recommendations to build efficient, scalable, reliable autonomic networks? | |
| 520 | |a Autonomic networking aims to solve the mounting problems created by increasingly complex networks, by enabling devices to decide, without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, self-adapting their behavior to provide the best service to the end user in all situations. The book is intended for R & D engineers in industry and academia, who need to investigate new solutions for managing ever more complex systems including networks and services. It will help them to develop new solutions for managing their networks, and reduce their business costs. Companies such as Ericsson, Telefonica and Alcatel Lucent are increasingly using autonomics to solve their network problems. The book is also suitable for postgraduate students who are interested in developing their knowledge of the concepts and applications of autonomic network management, which will be the basis of future communication systems. This book provides a solid review of concepts, principles and architectures, together with an assessment of lessons learned from the ongoing initiatives in the field. It includes contributions from industry groups at Orange Labs, Motorola, Ericsson, the ANA EU Project and universities. These groups all provide chapters examining the international research projects to which they are contributing, such as the EU Autonomic Network Architecture Project and Ambient Networks EU Project, reviewing current developments and demonstrating how autonomic management principles are used to define new architectures, models, protocols, and mechanisms for future network equipment. The book includes real-world case studies which give guidance on applying autonomic network theory to a variety of network management scenarios, and provide extensive examples of how future robust networks can be built and managed. These use cases show how autonomic solutions are used to solve real network problems, which will help readers to understand the application of these techniques, their advantages and limitations. Provides reviews of cutting-edge approaches to the management of complex telecommunications, sensors, etc. networks based on new autonomic approaches. This enables engineers to use new autonomic techniques to solve complex distributed problems that are not possible or easy to solve with existing techniques. Discussion of FOCALE, a semantically rich network architecture for coordinating the behavior of heterogeneous and distributed computing resources. This provides vital information, since the data model holds much of the power in an autonomic system, giving the theory behind the practice, which will enable engineers to create their own solutions to network management problems. Real case studies from the groups in industry and academia who work with this technology. These allow engineers to see how autonomic networking is implemented in a variety of scenarios, giving them a solid grounding in applications and helping them generate their own solutions to real-world problems. | ||
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