The book provides essential insights into cutting-edge networking technologies that not only enhance performance and efficiency but also address critical sustainability challenges in an increasingly connected world.
The landscape of networking and computational technologies is rapidly evolving, driven by the increasing demand for efficient and sustainable resource management. The advent of next-generation technologies such as 5G and 6G has marked a significant leap in enabling high-capacity, low-latency communication and massive connectivity. These advancements are crucial for supporting the growing number of connected devices and complex applications they run, particularly in environments with limited processing, memory, and energy capabilities.
Sustainable Resource Management in Next-Generation Computational Constrained Networks provides insight into the advancements of recent cutting-edge networking technologies that cater to society’s needs more efficiently, meeting the expectations of sustainable resource management in computationally constrained networks. By exploring the practical applications of various next-generation technologies, the book addresses critical challenges such as scalability, interoperability, energy efficiency, and security. This knowledge equips professionals with the tools to enhance network performance, optimize resource management, and develop innovative solutions for sustainable and efficient computational networks, ultimately contributing to the advancement of technology and societal well-being.
Readers will find this book:
Audience
Software engineers, electronic engineers, and policymakers in the networking and security domain.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Subhasis Dash, PhD is an assistant professor in the School of Computer Engineering at the Kalinga Institute of Industrial Technology with over 22 years of teaching experience. His research interests include wireless sensor networks, distributed computing, and operating systems.
Manas Ranjan Lenka, PhD is an assistant professor in the School of Computer Engineering, at the Kalinga Institute of Industrial Technology with over 18 years of experience. His current research focuses on wireless sensor networks, mobile wireless networks, Internet of Things, and blockchain.
S. Balamurugan, PhD is the Director of Intelligent Research Consultancy Services and serves as a consultant for many other companies and start-ups. He has published over 70 books, 300 articles in national and international journals and conferences, and 300 patents. His research interests include artificial intelligence, machine learning, soft computing algorithms, and robotics and automation.
Ambika Prasad Tripathy is a senior technical leader with Cisco's Network Security Business Unit with over 17 years of experience. He has worked in the network industry to standardize Yang-based subscription mechanisms and their applications. He specializes in Sigtran, 3G, 4G core networks, switching and routing, telemetry, and datacenter, network, and cloud security.
Amarendra Mohanty is a senior engineer at the Intel Corporation in India with over 17 years of research experience. He has worked for a number of leading companies in the computer science field, including Intel, VMWare, TCS, and Aricent. His specializations include network security, network virtualization, data center networking, routing and switching, and 3G wireless networks in the development and QA fields.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. The book provides essential insights into cutting-edge networking technologies that not only enhance performance and efficiency but also address critical sustainability challenges in an increasingly connected world. The landscape of networking and computational technologies is rapidly evolving, driven by the increasing demand for efficient and sustainable resource management. The advent of next-generation technologies such as 5G and 6G has marked a significant leap in enabling high-capacity, low-latency communication and massive connectivity. These advancements are crucial for supporting the growing number of connected devices and complex applications they run, particularly in environments with limited processing, memory, and energy capabilities. Sustainable Resource Management in Next-Generation Computational Constrained Networks provides insight into the advancements of recent cutting-edge networking technologies that cater to societys needs more efficiently, meeting the expectations of sustainable resource management in computationally constrained networks. By exploring the practical applications of various next-generation technologies, the book addresses critical challenges such as scalability, interoperability, energy efficiency, and security. This knowledge equips professionals with the tools to enhance network performance, optimize resource management, and develop innovative solutions for sustainable and efficient computational networks, ultimately contributing to the advancement of technology and societal well-being. Readers will find this book: Provides thorough reviews on a wide range of cutting-edge network technologies contributing to resource management in computationally constrained networks;Explores the role of various network technologies for the development of sustainable applications;Details architectural viewpoints of integrating emerging network technologies with real-world applications to manage network resources efficiently;Highlights challenges in integrating the latest network technologies with sustainable real-world applications;Discusses real-world case studies of various network technologies in leveraging sustainable resource management for the fulfillment of different industrial and societal needs. Audience Software engineers, electronic engineers, and policymakers in the networking and security domain. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394212569
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