The "Journal of Big-Data Analytics and Cloud Computing" focuses on research at the intersection of big data analytics and cloud computing technologies. It publishes original research articles, reviews, and case studies that explore theoretical advancements and practical implementations within this field.

Scope and Focus

The journal covers a range of topics, including:

• Scalable Data Processing Frameworks: Studies on frameworks and architectures designed to handle large-scale data processing efficiently within cloud environments.
• Cloud-Based Data Storage Solutions: Research into storage mechanisms that leverage cloud infrastructure to manage extensive datasets effectively.
• Machine Learning Algorithms for Cloud Environments: Development and optimization of machine learning models tailored for deployment in cloud settings, addressing challenges such as scalability and resource allocation.
• Integration of Big Data Analytics with Cloud Infrastructure: Investigations into the integration of big data analytics tools and methodologies with cloud platforms to enhance performance and accessibility.
• Data Security and Privacy: Analyses of security protocols and privacy-preserving techniques relevant to big data and cloud computing, ensuring the protection of sensitive information.
• Efficient Management of Large-Scale Data: Research on methodologies and tools aimed at the effective management, retrieval, and analysis of large datasets in cloud environments.

Submission Guidelines

Authors are encouraged to submit manuscripts presenting novel findings, proposing innovative methodologies, or providing comprehensive reviews of existing literature. Submissions should adhere to the journal's formatting guidelines and will undergo a peer-review process to ensure the publication of high-quality research.

Audience

The journal serves academic researchers, industry practitioners, and policymakers interested in developments in big data analytics and cloud computing. It provides a platform for the exchange of knowledge and ideas, aiming to foster collaboration and innovation in this evolving field.

Editorial Board

The editorial board consists of scholars and industry experts with experience in big data analytics and cloud computing. Their collective expertise ensures the maintenance of academic standards and the publication of impactful research.

Access and Distribution

The journal offers open-access publication options, allowing researchers and practitioners worldwide to access and benefit from the published content.

Conclusion

The "Journal of Big-Data Analytics and Cloud Computing" aims to advance the understanding and application of big data analytics and cloud computing technologies through the publication of research in this area.