| Description |
1 online resource (xii, 170 pages) : illustrations |
| Contents |
1. Introduction -- 2. Case study : autonomic healing-based self-management engine -- 3. The proposed architecture -- 4. Policy engine -- 5. Related work -- 6. Implementation -- 7. Prototype -- 8. Evaluation -- 9. Contributions -- 10. Conclusion |
| Summary |
"A self-healing network has a network architecture that can withstand a failure in its transmission paths. The biggest issue, to date, in self-healing systems is fault identification and its classification. This book uses the techniques of casual reasoning to classify the candidate faults from the fault identification process. It employs a similarity matrix in order to match the user activity log and its pattern in a transformed space. I then describes how to embed the self-healing policy, so the if the client has more faults related to the previous one, they can be dealt with at the client side"-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (ENGnetBASE, viewed December 6, 2013) |
| Subject |
Wireless communication systems -- Quality control
|
|
Computer networks -- Management.
|
|
Self-organizing systems.
|
|
Fault location (Engineering)
|
|
Computer networks -- Management
|
|
Fault location (Engineering)
|
|
Self-organizing systems
|
|
Wireless communication systems -- Quality control
|
| Form |
Electronic book
|
| ISBN |
9781466556492 |
|
1466556498 |
|
129999010X |
|
9781299990104 |
|
