Cloud Computing, Big Data & Emerging Topics: 10th Conference, JCC-BD&ET 2022, La Plata, Argentina, June 28-30, 2022, Proceedings

This book presents the revised selected papers of the 10th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2022, held in La Plata, Argentina, in June-July 2022. The papers are organized in topical sections on parallel and distributed computing, machine and deep learning, cloud and high-performance computing, machine and deep learning, and virtual reality.

Format: Paperback / softback
Length: 139 pages
Publication date: 05 August 2022
Publisher: Springer International Publishing AG

The 10th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2022, was held in La Plata, Argentina, from June to July 2022. A total of 23 submissions were received, and nine full papers were carefully reviewed and selected for inclusion in the conference proceedings. The papers are organized into topical sections covering Parallel and Distributed Computing, Machine and Deep Learning, Cloud and High-Performance Computing, Machine and Deep Learning, and Virtual Reality.

This book serves as a valuable resource for researchers, practitioners, and students interested in the latest advancements in cloud computing, big data, and emerging topics. The contributions presented in these papers reflect the state-of-the-art research and practical experiences in these fields.

The conference was attended by experts from around the world, who exchanged ideas, shared knowledge, and collaborated on future research directions. The topics covered in the conference proceedings include cloud computing architectures, cloud security, big data analytics, machine learning algorithms, deep learning models, virtual reality applications, and many more.

The editors of this book are grateful to all the authors who contributed their research papers to the conference proceedings. They also extend their thanks to the reviewers who provided valuable feedback and suggestions to improve the quality of the papers.

We hope that this book will be a valuable tool for researchers, practitioners, and students in the field of cloud computing, big data, and emerging topics. It will provide them with insights into the latest developments and trends, and help them to address the challenges and opportunities that these fields present.

The 10th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2022, was held in La Plata, Argentina, from June to July 2022. A total of 23 submissions were received, and nine full papers were carefully reviewed and selected for inclusion in the conference proceedings. The papers are organized into topical sections covering Parallel and Distributed Computing, Machine and Deep Learning, Cloud and High-Performance Computing, Machine and Deep Learning, and Virtual Reality.

This book serves as a valuable resource for researchers, practitioners, and students interested in the latest advancements in cloud computing, big data, and emerging topics. The contributions presented in these papers reflect the state-of-the-art research and practical experiences in these fields.

The conference was attended by experts from around the world, who exchanged ideas, shared knowledge, and collaborated on future research directions. The topics covered in the conference proceedings include cloud computing architectures, cloud security, big data analytics, machine learning algorithms, deep learning models, virtual reality applications, and many more.

The editors of this book are grateful to all the authors who contributed their research papers to the conference proceedings. They also extend their thanks to the reviewers who provided valuable feedback and suggestions to improve the quality of the papers.

We hope that this book will be a valuable tool for researchers, practitioners, and students in the field of cloud computing, big data, and emerging topics. It will provide them with insights into the latest developments and trends, and help them to address the challenges and opportunities that these fields present.

Weight: 244g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031145988
Edition number: 1st ed. 2022