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Advances in Distributed Computing and Machine Learning
Proceedings of ICADCML 2022
eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789811910180
Veröffentl:
2022
Einband:
eBook
Seiten:
719
Autor:
Rashmi Ranjan Rout
Serie:
427, Lecture Notes in Networks and Systems
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15-16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges and Applications.- Security and Challenges for Blockchain Integrated Fog Enabled IoT Applications.- MLP Deep Learning Based DDoS Attack Detection Framework for Fog Computing.- Active VM Placement Approach Based on Energy Efficiency in Cloud Environment.- Security Enhancement in Cloud Environment using Modified Key Based Crypto Method.- RFID-Based Authentication Scheme for Secure Access of Medical Data in IoT-Enabled Health Environments.- FML Framework: Function Triggered ML-as-a-Service for IoT Cloud Applications.- A New Approach for Processing Raster Geospatial Big Data in Distributed Environment.- An Efficient Service Selection Algorithm for Cloud Computing.- Transaction and QoS-Driven Composition of Web Services using Modified Grey Wolf Optimization with TOPSIS and AHP.