Business & Economics Books:

Computational Network Application Tools for Performance Management

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Format:

Hardback
$295.00
Available from supplier

The item is brand new and in-stock with one of our preferred suppliers. The item will ship from a Mighty Ape warehouse within the timeframe shown.

Usually ships in 3-4 weeks
Free Delivery with Primate
Join Now

Free 14 day free trial, cancel anytime.

Buy Now, Pay Later with:

4 payments of $73.75 with Afterpay Learn more

6 weekly interest-free payments of $49.17 with Laybuy Learn more

Availability

Delivering to:

Estimated arrival:

  • Around 11-21 June using International Courier

Description

This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain. The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc.

Author Biography:

Dr. Millie Pant is Associate Professor at the Department of Applied Science & Engineering., IIT Roorkee, India. She has published over 180 research papers and has edited a number of Springer Conference Proceedings volumes. She is Associate Editor, Guest Editor and Reviewer for various Springer and Inderscience journals and IEEE Transactions. She has served as General Chair, Program Chair, Session and Track Chair at numerous national & international conferences, and has delivered guest lectures at various leading national and international institutions. She has been involved in international collaboration with MIRS Lab, USA; Liverpool Hope University, UK; and Université Paris-EstCréteil Val-de-Marne, Paris, France. Dr. Tarun Kumar Sharma is an Associate Professor at Amity University Rajasthan, India. He holds a Ph.D. in Soft Computing from IIT, Roorkee, and has published over 90 research papers. He has served as General Chair, Program Chair, Track Chairin the SoCTA, SoCPros Conference Series. He has edited a number of Springer Conference Proceedings volumes. He is Associate Editor, Guest Editor and Reviewer for various Springer and Inderscience journals and IEEE Transactions. He has delivered guest lectures at various leading national and international institutions. He is member of IET, IANEG, CSTA, and MIRS Lab. Dr. Sebastian Basterrech is an Associate Professor at the Department of CS, Faculty of Electrical Engineering, Czech Technical University, Prague, He has 70+ research publications to his credit. He is Associate Editor, Guest Editor and Reviewer Springer and Inderscience journals and IEEE Transactions. He has acted as Program Chair and Technical Chair at numerous national & international conferences, and has made valuable contributions in areas related to quasi-Newton optimization, random neural networks, reservoir computing, neural computation & soft-computing techniques. Dr. Chitresh Banerjee is an Assistant Professor at Amity University, Rajasthan, India. He has published over 60 research papers and has also worked as Executive Officer on the Board of Studies at The Institute of Chartered Accountants of India (Set up by an Act of Parliament), New Delhi.  He is member of 15 international societies and associations. Under the Institute-Industry linkage program, he delivers expert lectures on various themes related to IT. He has authored several books, and has acted as Editor, Associate Editor, Guest Editor and Reviewer for numerous national and international journals and conference proceedings.
Release date NZ
October 30th, 2019
Audience
  • Professional & Vocational
Contributors
  • Edited by Chitresh Banerjee
  • Edited by Millie Pant
  • Edited by Sebastian Basterrech
  • Edited by Tarun K. Sharma
Edition
1st ed. 2020
Illustrations
88 Illustrations, color; 36 Illustrations, black and white; XII, 267 p. 124 illus., 88 illus. in color.
Pages
267
ISBN-13
9789813295841
Product ID
31124040

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here

Help & options

Filed under...