The growing usage of networks presents many challenges for network administrators. Network infrastructures are growing rapidly to meet needs of business, but the required re-policing 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, Software-Defined Networking for Future Internet Technology: Concepts and Applications, includes quantitative research, case studies, conceptual papers, model papers, review papers, theoretical backing, etc. This book investigates areas where SDN can help other emerging technologies for delivering more efficient services, such as IoT, industrial IoT, NFV, big data, blockchain, cloud computing, and edge computing.
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:
The book will be a valuable resource for SDN researchers as well as academicians, research scholars, and students in the related areas.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Kshira Sagar Sahoo, PhD, is an Assistant Professor in the Department of Information and Technology at VNRVJIET, Hyderabad, India. He has authored papers in several reputed journals, including those published by IEEE Transactions, Wiley, Springer, and Elsevier, as well as in conference proceedings. His research interests include future generation network infrastructure such as software-defined networks, edge computing, IoT, etc. He is a member of the IEEE Computer Society and an associate member of the Institute of Engineers (IE), India. He received his PhD degree from the National Institute of Technology, Rourkela, India; his MTech degree from the Indian Institute of Technology Kharagpur, India; and his BTech from the Institute of Technical Education and Research, Bhubaneswar, India.
Bibhudatta Sahoo, PhD
, is presently Associate Professor in the Department of Computer Science and Engineering, National Institute of Technology Rourkela, India. He has over 25 years of teaching experience at the undergraduate and graduate levels in the field of computer science and engineering. He has authored papers in journals, including those published by IEEE Transactions, Wiley, Springer, and Elsevier, as well as in conference proceedings. His technical interests include data structures and algorithm design, parallel and distributed systems, networks, computational machines, algorithms for VLSI design, performance evaluation methods and modeling techniques, distributed computing system, networking algorithms, and web engineering. He is a member of IEEE and ACM. He obtained his MTech and PhD degrees in Computer Science and Engineering from NIT, Rourkela, India.
Brojo Kishore Mishra, PhD
, is a Professor in the Computer Science and Engineering Department at the Gandhi Institute of Engineering and Technology University (GIET), Gunupur, Odisha, India. He has published more than 40 research papers in internationally reputed journals and refereed conferences and seven book chapters. He has edited a book and is acting as a member of an editorial board member/associate editor/guest editor for various international journals. His research interests include data mining and big data analysis, machine learning, soft computing, and evolutionary computation. He received his PhD degree in Computer Science from the Berhampur University, Brahmapur, Odisha, India. He is a life member of ISTE, CSI, and member of IEEE, ACM, IAENG, UACEE, and ACCS.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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