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Books > Computing & IT > Computer communications & networking
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Computational Network Application Tools for Performance Management (Hardcover, 1st ed. 2020)
Loot Price: R2,677
Discovery Miles 26 770
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Computational Network Application Tools for Performance Management (Hardcover, 1st ed. 2020)
Series: Asset Analytics
Expected to ship within 18 - 22 working days
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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.
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