Journal of Cloud Computing and Data Science

DESCRIPTION:

The Half Yearly Journal of Cloud Computing and Data Science, published by PubCapo International, is a scholarly publication dedicated to advancing research and knowledge in the fields of cloud computing and data science. The journal serves as a platform for researchers, academics, and industry professionals to share their latest findings, insights, and advancements in these rapidly evolving domains. With a focus on both theoretical and practical aspects, the journal explores various topics related to cloud computing architectures, algorithms, security, data management, analytics, machine learning, and more.

Aim:

The aim of the Half Yearly Journal of Cloud Computing and Data Science is to foster innovation and collaboration among researchers and practitioners in the areas of cloud computing and data science. By providing a reputable and accessible platform for scholarly discourse, the journal strives to facilitate the dissemination of cutting-edge research, promote critical thinking, and contribute to the development and advancement of these disciplines. The journal welcomes submissions that present original research, surveys, case studies, and review articles that contribute to the understanding and application of cloud computing and data science in diverse domains.

Scope:

The Half Yearly Journal of Cloud Computing and Data Science covers a wide range of topics within the field of cloud computing and data science. The scope of the journal includes, but is not limited to, the

following areas:

1. Cloud computing architectures and models

2. Cloud storage and data management

3. Cloud security and privacy

4. Cloud-based machine learning and artificial intelligence

5. Big data analytics and data mining

6. Distributed and parallel computing in the cloud

7. Edge and fog computing

8. Internet of Things (IoT) and cloud integration

9. Cloud-based services and applications

10. Performance optimization and resource management in cloud environments

11. Data visualization and exploration techniques

12. Data preprocessing and cleaning

13. Natural language processing and text analytics

14. Cloud-based data science tools and platforms

15. Ethical and legal considerations in cloud computing and data science

The journal welcomes contributions from researchers, academicians, and industry practitioners,

providing a valuable platform for disseminating high-quality research and fostering interdisciplinary

discussions in the fields of cloud computing and data science.