Optimized and adaptive dynamic load balancing in distributed database server
Santosh T. Waghmode, Bankat M. Patil · IET conference proceedings. · 2022
Modern large-scale and small-scale data applications and processing solutions depend primarily on the distributed database system. Distributed database servers are the most commonly used structures that give data availability, reliability, replication, and processing for both homogeneous and heterogeneous software and hardware systems. One of the significant challenges that will address by distributed file system is a parallel but not intersecting in the data load, which seems to be in the distribution of data items or data access from the nodes in the system. A distributed database system with high availability and scalability gives record offerings in terms of tolerance, availability, and reaction speed. Adaptive load balancing outperforms centralized and distributed load balancing. The technique considers restrictions such as network load, Input and output load, capacity and load, which were not taken into account in the previous method. The restriction satisfying hypothesis, which determines the best level for enhanced system productivity and response time, addresses the load balancing issue. According to experimental results, overall performance assessments in reading and writing operations are enhanced in response time.