Abstract:

Data replication is a cornerstone of modern distributed systems, ensuring availability, fault tolerance, and performance efficiency. Traditional replication methods often fail to adapt to dynamic workloads, leading to resource inefficiencies and system bottlenecks. This study explores innovative approaches to replica management through dynamic replication strategies, focusing on adaptive methodologies that align with real-time system demands. The paper evaluates algorithms, frameworks, and practical implementations, showcasing how dynamic replication enhances data reliability, scalability, and efficiency.

Description:

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