PREVENTING CIRCULAR DATA UPDATE LOOPS IN DISTRIBUTED SYSTEMS: A SOURCE-CONTROLLED SYNCHRONIZATION MODEL FOR ENTERPRISE DATA INTEGRITY

V Balam uralidhar Sarabu

doi:10.15662/f40n9z25

Authors

V Balam uralidhar Sarabu Data Architect, Rent A Center, Texas, USA. Author

DOI:

https://doi.org/10.15662/f40n9z25

Keywords:

Distributed Systems, Data Synchronization, Circular Update Loops, Enterprise Data Integrity, Source-Controlled Synchronization, Event Propagation Control, Data Governance, Microservices Architecture

Abstract

Modern enterprises rely on distributed systems to synchronize data across multiple applications, services, and storage platforms. While such architectures enable scalability and integration, they also introduce the risk of circular data update loops, where repeated bidirectional synchronization between systems causes redundant updates, data inconsistency, and performance degradation. These loops often emerge in environments where multiple services independently propagate changes without centralized coordination or version awareness.

This paper proposes a source-controlled synchronization model designed to prevent circular update propagation in distributed enterprise environments. The model introduces a structured approach for identifYing the authoritative source of change, tracking update lineage, and implementing controlled propagation policies across interconnected systems. By integrating metadata-based source tagging, version tracking, and synchronization governance, the proposed model minimizes redundant data cycles while preserving eventual consistency across platforms.

The study discusses architectural patterns, synchronization workflows, and implementation strategies applicable to modern enterprise ecosystems including microservices, cloud data platforms, and API-driven integrations. Conceptual diagrams and practical scenarios illustrate how the proposed approach improves data reliability, system performance, and operational transparency. The findings highlight how adopting a source-controlled synchronization framework can significantly enhance enterprise data integrity and distributed system stability.

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