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Computational Network Application Tools for Performance Management

  • Millie Pant
  • Tarun K. Sharma
  • Sebastián Basterrech
  • Chitresh Banerjee
Book
  • 1.9k Downloads

Part of the Asset Analytics book series (ASAN)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ankur Biswas, Paritosh Bhattacharya, Santi P. Maity
    Pages 75-85
  3. Amit Kumar Singh, Siddharth Agrawal, Shreyansh Agarwal, Deepanshu Goyal
    Pages 95-108
  4. T. Rajesh Kumar, K. Geetha, G. Remmiya Devi, S. Barkath Nisha
    Pages 119-125
  5. Pawan Kumar, Ravins Dohare
    Pages 127-137
  6. Damandeep Kaur, Gurjot Kaur Walia
    Pages 139-152
  7. Palak Bansal, Kritika Agrawal, Ankita Gupta
    Pages 167-179
  8. R. Vijaya Saraswathi, L. Padma Sree, K. Anuradha
    Pages 213-224

About this book

Introduction

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.

Keywords

Optimization Modelling Automated Systems Performance Enhancement Soft Computing Computational Networks Solar Energy Sensor Networks

Editors and affiliations

  • Millie Pant
    • 1
  • Tarun K. Sharma
    • 2
  • Sebastián Basterrech
    • 3
  • Chitresh Banerjee
    • 4
  1. 1.Department of Applied Science and EngineeringIndian Institute of Technology RoorkeeRoorkee, UttarakhandIndia
  2. 2.Amity School of Engineering and TechnologyAmity University RajasthanJaipur, RajasthanIndia
  3. 3.Department of Computer ScienceCzech Technical University in PragueOstrava, PragueCzech Republic
  4. 4.Amity Institute of Information TechnologyAmity University RajasthanJaipur, RajasthanIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-32-9585-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management
  • Print ISBN 978-981-32-9584-1
  • Online ISBN 978-981-32-9585-8
  • Series Print ISSN 2522-5162
  • Series Online ISSN 2522-5170
  • Buy this book on publisher's site