Ensuring Data Integrity in Highly Distributed Systems

Author(s)	Santosh Vinnakota
Country	United States
Abstract	Highly distributed systems, such as cloud computing platforms and global data networks, present significant challenges in maintaining data integrity. Data inconsistencies, corruption, and loss can occur due to network failures, system crashes, or concurrency issues. This paper explores methodologies for implementing validation and reconciliation frameworks to ensure data integrity in such systems. We present a comprehensive study on data validation techniques, reconciliation mechanisms, and best practices to mitigate integrity issues. Additionally, we propose an end-to-end framework that combines real-time validation and periodic reconciliation to detect and resolve discrepancies.
Keywords	Data Integrity, Distributed Systems, Validation, Reconciliation, Consistency, Fault Tolerance, Cloud Computing
Field	Engineering
Published In	Volume 13, Issue 1, January-June 2022
Published On	2022-02-05
Cite This	Ensuring Data Integrity in Highly Distributed Systems - Santosh Vinnakota - IJAIDR Volume 13, Issue 1, January-June 2022. DOI 10.5281/zenodo.15104179
DOI	https://doi.org/10.5281/zenodo.15104179
Short DOI	https://doi.org/g897wq

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