Managing Computer Networks: A Case-Based Reasoning Approach (Telecommunications Library) (Hardcover)

by Lundy Lewis (Author) "Our goal in this chapter is to understand the basic concepts and scope of network management..." (more)
Key Phrases: meshed memory, probable cause code, fault management architecture, Case-Based Reasoning, Elsevier Science Publishers, New York (more...)

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Product Description
Focuses on the challenge of managing, maintaining, and servicing networks. Learn how to keep computer networks up and running. DLC: Computer networks Management.

Product Details

• Hardcover: 205 pages
• Publisher: Artech House Publishers (October 1995)
• Language: English
• ISBN-10: 0890067996
• ISBN-13: 978-0890067994
• Product Dimensions: 9.2 x 6.2 x 0.7 inches
• Shipping Weight: 1 pounds (View shipping rates and policies)
• Average Customer Review: 3.0 out of 5 stars See all reviews (1 customer review)
• Amazon.com Sales Rank: #3,059,821 in Books (See Bestsellers in Books)

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Most Helpful Customer Reviews

2 of 2 people found the following review helpful:

3.0 out of 5 stars One of the rare books in this category of Books, September 4, 2000

By	Sandeep K. Shukla (Santa Clara, CA, USA) - See all my reviews

About two years ago I was working on a project on fault-management of a vast and heterogenous network, and my main interest was event correlation in a global scale. The problem with that was that most of the work in that area (academic or otherwise) were in some of the few telecommunication network management conferences, or in the folklore. One had to dig into existing systems to understand what has been done in the past and what are the existing approaches. At that time, this book by Dr. Lewis came into my attention. It is short but well structured book which I finished within a few days. It advocates a case based reasoning approach to intelligently infer network outage and other faults, from local information about events which are seemingly localized. In describing a prototype system, the author has done a succint but clear exposition, together with a good coverage on what case base reasoning is all about.

Although eventually I did not take the case based reasoning approach, and took a more algorithmic approach, I found the book to be one of the rarest of its kind, and I must recommend it to any one who is interested in developing a global fault management system for a network by automating inference methods from local fault information about the network.