Big Data Virtualization in Edge Computing

Safa Ismail Nakade

Abstract: Big data virtualization in edge computing is the core focus of this study, aiming to address the challenges of managing and utilizing large volumes of data generated at the network edge. Leveraging virtualization techniques, the goal is to integrate and abstract heterogeneous data sources across the edge network, providing a unified and virtualized view of the data infrastructure. The research investigates the specific challenges, opportunities, and benefits of adopting big data virtualization in edge computing, exploring techniques and architectures for efficient data management and processing in distributed edge environments. Implementation considerations such as security, privacy, and performance are examined, drawing insights from an extensive review of literature and case studies. By advancing the understanding of state - of - the - art techniques and future research directions, this study seeks to enable efficient and scalable management of big data at the edge, unlocking the full potential of edge computing for data - intensive applications.

Keywords: data virtualization, distributed edge, data marketplace, emerge virtual supercomputer, data network, big data techniques

How to Cite?: Safa Ismail Nakade, "Big Data Virtualization in Edge Computing", Volume 12 Issue 7, July 2023, International Journal of Science and Research (IJSR), Pages: 674-678, https://www.ijsr.net/getabstract.php?paperid=SR23709125308, DOI: https://dx.doi.org/10.21275/SR23709125308