International Journal of Computer Science and Technology

International Journal of Computer Science and Technology Vol. 4, No. 12, December 2002 | pp. 89–96

DOI: 10.46882/2002/IJCST/000048

Research Article

Title: An Asymmetric Validation Grid for Minimizing Write Replication Overhead

Names of Authors: Thomas E. Green¹, Yusuf Al-Mansoori²

Authors’ Affiliations: ¹Department of Computer Engineering, Massachusetts Institute of Technology, Cambridge, USA; ²Department of Information Systems, Zayed University, Abu Dhabi, UAE.

Abstract:
Distributed cluster storage arrays are prone to frequent hardware failures, packet dropouts, and state synchronization delays that compromise data availability. Maintaining absolute records across thousands of physical storage nodes requires a low-overhead, resilient voting mechanism. This paper presents an optimized decentralized consensus framework, State-Replicated Quorum (SRQ), built specifically for high-throughput enterprise databases. The protocol incorporates an asymmetric state-validation matrix that isolates Byzantine failures without relying on a centralized coordinator. We stress-tested the SRQ protocol across a virtual deployment of 1,024 active cluster storage nodes under heavy write-intensive workloads. The empirical metrics indicate a 27.4% reduction in write replication latency and a 19.1% improvement in overall transactional throughput compared to Paxos-based baselines. System restoration timelines after sudden node dropouts dropped by 34.5 seconds, ensuring seamless service continuity. This system architecture provides database administrators with a robust mathematical foundation to maintain absolute consistency profiles.

Keywords: Consensus Protocols, Distributed Databases, Fault Tolerance, Byzantine Resilience, Data Synchronization, Cluster Storage.

Manuscript Timeline: Received: August 11, 2002; Revised: September 20, 2002; Accepted: October 12, 2002; Published: December 26, 2002.

Citation: Green, T. E., & Al-Mansoori, Y. (2002). An Asymmetric Validation Grid for Minimizing Write Replication Overhead. International Journal of Computer Science and Technology, 4(12), 89–96.

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