Edge data governance: Frameworks and approaches for distributed data management at the network edge
Abstract
The exponential growth of edge computing has shifted data processing closer to its source, enabling low-latency applications and real-time decision-making. However, this distributed architecture introduces significant challenges in data governance, including data security, compliance, and policy enforcement across disparate environments. This paper explores the need for edge data governance frameworks, examines the challenges posed by decentralized data environments, and proposes approaches to enable robust governance at the edge. It also highlights future opportunities in advancing edge data governance, along with potential challenges to adoption and scalability.
How to Cite This Article
Dinesh Thangaraju (2024). Edge data governance: Frameworks and approaches for distributed data management at the network edge . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(4), 1353-1361. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.6-1353-1361