Scalable Query Processing in Big Data Environments With Hadoop Distributed File System and Particle Swarm Optimization
A novel hybrid approach for efficient big data query processing through a two-phase approach that combines the parallel processing capabilities of HDFS Map-Reduce with the optimization power of PSO, contributing to an overall improvement in query processing efficiency for large-scale datasets.