Graph-Driven Temporal Consensus for Distributed Data Sourcing: AI-Augmented Conflict Resolution, Relationship Modeling, and Multi-Source Integrity Using JanusGraph and Apache Flink on Kubernetes
Abstract
Distributed data systems face major challenges when combining events from multiple independentsources. Each source operates with its own timing and data formats. Events arrive out of order. Fieldvalues conflict. Entity references do not match. These problems hurt data quality in downstream systems. Traditional pipelines use simple solutions like timestamp
Fields of Study & Subjects
Data Quality and Management
Advanced Database Systems and Queries
Graph Theory and Algorithms
Publication details
- Journal / source
- Journal of Computational Analysis and Applications
- Volume
- 35
- Issue
- 1
- Publication date
- 1 January 2026