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This book aimed at bringing an insight to the ICN network,
particularly various architectures, issues and challenges in the
new networking paradigm. The book starts with an introduction to
the new promising concept of ICN and its origin along with the
reason behind this interesting innovation. Different architectures
proposed so far in support of implementing the ICN is also
discussed in details. Few of the challenges of ICN implementation
are enlisted as caching, naming, routing, and security. Each of
these challenges with recent development is covered in individual
chapters. Moreover, integration of current trends in communication
and computing like software defined networking and machine learning
approach are another area that this book is focusing. All these
chapters highlight the recent developments reported in the area and
also discusses the future trends. The book provides an overview of
the recent developments in future internet technologies, bringing
together the advancements that have been made in ICN. The book
includes three unique chapters in the field of ICN research. The
first, is the SDN framework for implementing ICN by decoupling data
and control plan. The machine learning models for predicting future
trends in network traffic and other management activities is
another important chapter. This chapter includes the possibilities
of using machine learning models for trend prediction to help
network administrators and service providers to take care of
unexpected sudden change traffic pattern and user behaviour. The
third most vital chapter is the security issues in ICN. This
chapter includes various facts that influences the security of ICN.
Issues involved in naming, caching and routing are discussed
separately along with few recent works in these areas. Various
types of attacks in ICN are also part of the discussion. The stated
book would be useful for researchers in this area and will work as
a reference for future work. Moreover, the content of the book
would also be suitable as a supporting material for undergraduate
and graduate level courses in computer science and electrical
engineering.
This book aimed at bringing an insight to the ICN network,
particularly various architectures, issues and challenges in the
new networking paradigm. The book starts with an introduction to
the new promising concept of ICN and its origin along with the
reason behind this interesting innovation. Different architectures
proposed so far in support of implementing the ICN is also
discussed in details. Few of the challenges of ICN implementation
are enlisted as caching, naming, routing, and security. Each of
these challenges with recent development is covered in individual
chapters. Moreover, integration of current trends in communication
and computing like software defined networking and machine learning
approach are another area that this book is focusing. All these
chapters highlight the recent developments reported in the area and
also discusses the future trends. The book provides an overview of
the recent developments in future internet technologies, bringing
together the advancements that have been made in ICN. The book
includes three unique chapters in the field of ICN research. The
first, is the SDN framework for implementing ICN by decoupling data
and control plan. The machine learning models for predicting future
trends in network traffic and other management activities is
another important chapter. This chapter includes the possibilities
of using machine learning models for trend prediction to help
network administrators and service providers to take care of
unexpected sudden change traffic pattern and user behaviour. The
third most vital chapter is the security issues in ICN. This
chapter includes various facts that influences the security of ICN.
Issues involved in naming, caching and routing are discussed
separately along with few recent works in these areas. Various
types of attacks in ICN are also part of the discussion. The stated
book would be useful for researchers in this area and will work as
a reference for future work. Moreover, the content of the book
would also be suitable as a supporting material for undergraduate
and graduate level courses in computer science and electrical
engineering.
This book is all about the metal complexes of acyl pyrazolones. It
covers the literature survey and introduction about the research in
this field followed by the synthetic procedure, spectroscopic
characterization using various spectroscopic and analytical
techniques and x-ray single crystal characterization of the
synthesized metal complexes of acyl pyrazolone ligands synthesized
by us. As the acyl pyrazolone is very important class of
heterocyclic compounds having applications in diverse filed, this
book will be helpful to researchers working in this area.
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