Scalable Modeling and Efficient Management of IoT Applications

Dharmendra Singh Rajput, Gotam Singh Lalotra, Vinod Kumar, Pushpendra Kumar, Harshita Patel (Herausgeber)

Buch | Softcover

318 Seiten

2024
Engineering Science Reference (Verlag)
979-8-3693-4770-6 (ISBN)

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Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an absence of comprehensive guidance in navigating this evolving technological landscape. The challenges are multifaceted and include the need for intelligent modeling techniques, the intricacies of managing IoT applications, and the relentless pace of technological advancements. This issue of staying well-informed and equipped to address these challenges demands an insightful solution. To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems. Furthermore, the book extends its guiding hand to conquer the complex terrain of managing IoT applications. It offers practical insights, strategies, and real-world case studies, providing scholars with the means to tackle implementation challenges encompassing scalability, interoperability, security, and data management. Rather than merely addressing existing challenges, the book also ensures that scholars remain at the forefront of IoT knowledge, offering insights into the latest research trends and emerging technologies. Scalable Modeling and Efficient Management of IoT Applications is the compass that academic scholars need, helping them navigate the complexities of IoT and bridging the gap between theory and practical implementation.

Vinod Kumar has received the degree Bachelor of Science (PCM) from University of Allahabad, Uttar Pradesh-India in 2008, Master of Computer Applications in 2011. He has qualified UGC-NET (Computer Science and Applications) in 2013. He did Ph.D. from Maulana Azad National Institute of Technology (MANIT),Bhopal (MP) in 2019. He has worked as a Project Fellow on Project “Network Simulation Testbed at MCTE, MHOW(MP)” in Indian Institute of Information Technology-Allahabad (U.P.) in Collaboration with Military College of Telecommunication Engineering (MCTE), Mhow (MP) funded by Army Technology Board. He has 10+ Years experience in research and teaching. Currently He is working as Assistant Professor in Department of Computer Application, School of Computing Science & Engineering, Galgotias University, Uttar Pradesh, India. He is an active researcher in the field of Web Mining, Machine Learning, Graph Neural Network and Blockchain Technology, Internet of Things. Harshita Patel had a Ph.D. awarded entitled ‘Efficient Computational Models for Classification of Imbalanced Data’ in Dept. of Computer Applications, Maulana Azad National Institute of Technology Bhopal (M.P.) in November 2017. Self-motivated learner gives emphasis on conceptual teaching and fundamentals. Generates subject interest in students through motivation, creative thinking, positive thinking with CAN DO approach and good verbal & communication skills. Impart theoretical knowledge with emphasis on application knowledge associated with lab learning, experimental and innovative approach in teaching with success records.

Erscheinungsdatum	15.10.2024
Reihe/Serie	Advances in IT Standards and Standardization Research
Verlagsort	Hershey, PA
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-13	979-8-3693-4770-6 / 9798369347706
Zustand	Neuware