Role of Big Data and Cloud Computing in data visualization and computational analysis

Session Description

In terms of data management Big data and Cloud computing have shown an emerging aspect through adaptive learning and computational technologies. There are several areas of research where the combination of these two techniques has been used for the more benefit. Both the technologies have the capability to enhance the revenue of the company while reducing the investment cost. Cloud computing is found to be useful in providing the local staff and resources on demand, while Big data is useful in the decision processing and handling the huge amount of data. The analysis of different computation techniques in terms of Big data and Cloud computing is important as it can provide better data visualization, computing solutions, real time analytics, automation and data sharing. Then security aspects are also important as data sharing should be done in the secure environment. The session invites unpublished manuscripts to cover fundamental of Big data and Cloud Computing along with the impact of machine learning techniques, data mining techniques and nature inspired algorithms. The session will benefit participants from academics, R&D institutions, professional engineers, and research scholars in the same area.

Recommended Topics

Topics of interest include, but are not limited to the following:

• Big data technologies
• Data visualization
• Data mining tools and techniques, machine learning algorithms for big data
• Cloud computing platforms
• Distributed file systems and databases and scalable storage systems
• Scalable big data frameworks, platforms and visualization solutions
• Clouds for big data and high-performance computing
• Cloud foundations for connected devices and real-time analytics
• Cloud, utility, edge and serverless computing paradigms
• Multi-cloud management, aggregation and resource sharing
• Algorithms for energy-efficient, fast and secure computing in clouds
• Software engineering for cloud-native applications and Big Data
• Data security 14. Computational analysis of big data and cloud computing