Ensuring atomicity and concurrency in distributed database systems for high-performance applications
Discover Financial Services, Full Stack Developer, Riverwoods, Illinois, United States.
Review
International Journal of Frontiers in Engineering and Technology Research, 2024, 07(02), 082-092.
Article DOI: 10.53294/ijfetr.2024.7.2.0054
Publication history:
Received on 15 October 2024; revised on 21 November 2024; accepted on 25 November 2024
Abstract:
operations presents a formidable challenge. This paper investigates advanced strategies for ensuring atomicity and concurrency in distributed environments by integrating state-of-the-art distributed commit protocols with adaptive concurrency control mechanisms. The study focuses on the optimization of two-phase commit (2PC) protocols, various locking strategies, and fault-tolerance techniques, all designed to balance rigorous transactional guarantees with minimal performance overhead.
At the core of our framework is an enhanced implementation of the two-phase commit protocol, which is augmented with optimizations to reduce coordination delays across distributed nodes. In traditional 2PC, the commit phase is often a bottleneck due to the need for all participating nodes to acknowledge readiness before finalizing a transaction. Our approach introduces an adaptive timeout mechanism and speculative execution, which allow non-critical transactions to proceed in parallel while ensuring that critical updates are fully synchronized across the system. This reduces the latency associated with global consensus while preserving the atomicity of transactions.
Furthermore, our framework incorporates advanced locking strategies tailored for distributed systems. We evaluate both pessimistic and optimistic locking techniques to determine the optimal balance between lock granularity and system throughput. Pessimistic locking, while providing strict control over data access, can lead to contention in high-concurrency scenarios. In contrast, optimistic locking minimizes lock contention by deferring conflict detection until committing time, albeit at the potential cost of increased abort rates. Our analysis demonstrates that a hybrid approach, which dynamically adjusts locking modes based on current workload characteristics, yields superior performance. This adaptive locking strategy is particularly effective in environments with heterogeneous transaction profiles, where read-heavy and write-heavy operations coexist.
Fault tolerance is addressed through a combination of redundancy and proactive recovery techniques. We implement replication protocols that ensure data consistency across nodes, even in the presence of partial failures. Our system employs a rollback-recovery mechanism that leverages log-based recovery to maintain atomicity without incurring significant performance penalties during failure events. Additionally, the framework utilizes consensus algorithms to detect and mitigate the impact of network partitions, thereby maintaining service continuity in adverse conditions.
Experimental evaluations, conducted in a simulated distributed database environment, validate the efficacy of our proposed framework. Performance metrics indicate a significant reduction in commit latency, with improvements of up to 35% compared to conventional 2PC implementations. Moreover, the adaptive concurrency control mechanisms contribute to enhanced throughput and lower transaction abort rates, thereby ensuring that consistency and atomicity are preserved even under heavy load. The empirical results underscore the potential of combining advanced commit protocols with dynamic locking and fault-tolerance strategies to meet the stringent requirements of modern distributed database systems.
Keywords:
Atomicity; Concurrency; Distributed Database Systems; Two-Phase Commit; Concurrency Control; Fault Tolerance; Data Replication; Scalability; Performance Optimization; Transactional Integrity
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0