BEYOND LOCKING: ADVANCED COLLISION DETECTION AND MITIGATION STRATEGIES FOR HIGH-VOLUME ENTERPRISE SYSTEMS

Authors

  • JAYANT TYAGI

Keywords:

Collision Resolution, High-Volume Systems, Optimistic Concurrency Control, Decentralized Algorithms, Distributed Systems, Conflict Mitigation, Machine Learning for Conflict Resolution, Hybrid Solutions.

Abstract

Enterprise systems face primary operational challenges with collision resolution because they need to process real-time information and sustain their distributed systems at high volumes.The two-phase locking (2PL) system performs poorly when efficiently handling high concurrency levels. This research evaluates rest and compares collision detection and mitigation methods using Optimistic Concurrency Control (OCC) and decentralized models, machine learning techniques, and combination strategies.

References

Nookala, G.,. Real-Time Data Integration in Traditional Data Warehouses: A Comparative

Fugkeaw, S. and Hak, L., 2024. PPAC-CDW: A privacy-preserving access control scheme with fast OLAP query and efficient revocation for cloud data warehouse. IEEE Access. Analysis. Journal of Computational Innovation, 3(1). (2023)

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Published

2023-12-20

How to Cite

JAYANT TYAGI. (2023). BEYOND LOCKING: ADVANCED COLLISION DETECTION AND MITIGATION STRATEGIES FOR HIGH-VOLUME ENTERPRISE SYSTEMS . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1167–1185. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2069

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