Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2021 / / edited by Jyoti Prakash Sahoo, Asis Kumar Tripathy, Manoranjan Mohanty, Kuan-Ching Li, Ajit Kumar Nayak

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (538 pages)
• Disciplina: 006.31
• Soggetto topico: Computational intelligence; Artificial intelligence; Machine learning; Blockchains (Databases); Internet of things; Computational Intelligence; Artificial Intelligence; Machine Learning; Blockchain; Internet of Things
• Persona (resp. second.): SahooJyoti Prakash
• Nota di contenuto: Unconstrained Power Management Algorithm for Green Cloud Computing -- An Efficient Load Balancing System with Resource Failure -- Energy-Aware Service Management in Vehicular Cloud Computing.
• Sommario/riassunto: This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.
• Titolo autorizzato: Advances in Distributed Computing and Machine Learning
• ISBN: 981-16-4806-9; 981-16-4807-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743378203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 302