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Advances in Distributed Computing and Machine Learning, 1st ed. 2022 Proceedings of ICADCML 2021 Lecture Notes in Networks and Systems Series, Vol. 302

Langue : Anglais

Coordonnateurs : Sahoo Jyoti Prakash, Tripathy Asis Kumar, Mohanty Manoranjan, Li Kuan-Ching, Nayak Ajit Kumar

Couverture de l’ouvrage Advances in Distributed Computing and Machine Learning

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.      



​Unconstrained Power Management Algorithm for Green Cloud Computing.- An Efficient Load Balancing System with Resource Failure.- Energy-Aware Service Management in Vehicular Cloud Computing.

Jyoti Prakash Sahoo is a Senior Member, IEEE, and an experienced Assistant Professor with a demonstrated history of working in engineering education. Currently, he is working in the Dept of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha ’O’ Anusandhan (Deemed to be University) for the last 10 years. Prior to joining Siksha ’O’ Anusandhan, he also worked as an Assistant Professor with CV Raman College of Engineering, Bhubaneswar(now C. V. Raman Global University). He is having more than 12 years of academic and research experience in Computer Science and Engineering. He has published several research papers in various international journals and conferences. He is also serving many journals and conferences as an editorial or reviewer board member. He is having expertise in the field of Cloud computing and Machine learning. He served as Publicity chair, Web Chair, Organizing secretary, and Organizing member of technical program committees for many national and international conferences. Being a WIPRO Certified Faculty, he has also contributed to industry-academia collaboration, student enablement, and pedagogical learning. Furthermore, he is associated with various educational and research societies like IET, IACSIT, IAENG, etc.

Asis Kumar Tripathy is an Associate Professor in the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than ten years of teaching experience. He completed his Ph.D. from the National Institute of Technology, Rourkela, India, in 2016. His areas of research interests include wireless sensor networks, cloud computing, the Internet of things, and advanced network technologies. He has several publications in refereed journals, reputed conferences, and book chapters to his credit. He has served as a program committee member in several conferences of repute. He has also been involved in many professional an

Presents research works in the field of distributed computing and machine learning Provides results of ICADCML was held in the Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India Serves as a reference for researchers and practitioners in academia and industry

Date de parution :

Ouvrage de 513 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

295,39 €

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Date de parution :

Ouvrage de 513 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

295,39 €

Ajouter au panier