Network infrastructures are growing rapidly to meet the needs of
business, but the required repolicing and reconfiguration provide
challenges that need to be addressed. The software-defined network
(SDN) is the future generation of Internet technology that can help
meet these challenges of network management. This book includes
quantitative research, case studies, conceptual papers, model
papers, review papers, and theoretical backing on SDN. This book
investigates areas where SDN can help other emerging technologies
deliver more efficient services, such as IoT, industrial IoT, NFV,
big data, blockchain, cloud computing, and edge computing. The book
demonstrates the many benefits of SDNs, such as reduced costs, ease
of deployment and management, better scalability, availability,
flexibility and fine-grained control of traffic, and security. The
book demonstrates the many benefits of SDN, such as reduced costs,
ease of deployment and management, better scalability,
availability, flexibility and fine-grained control of traffic, and
security. Chapters in the volume address: Design considerations for
security issues and detection methods State-of-the-art approaches
for mitigating DDos attacks using SDN Big data using Apache Hadoop
for processing and analyzing large amounts of data Different tools
used for attack simulation Network policies and policy management
approaches that are widely used in the context of SDN Dynamic flow
tables, or static flow table management A new four-tiered
architecture that includes cloud, SDN-controller, and fog computing
Architecture for keeping computing resources available near the
industrial IoT network through edge computing The impact of SDN as
an innovative approach for smart city development More. The book
will be a valuable resource for SDN researchers as well as
academicians, research scholars, and students in the related areas.
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