Parallel Query Processing in a Cluster using MPI and File System Caching - TechRepublic

Parallel Query Processing in a Cluster using MPI and File System Caching

Last Updated: February 12, 2022 Format: PDF

Data intensive applications that rely heavily on huge databases waste a lot of time in searching and retrieval especially if there is a single server retrieving data from the database. This paper proposes a Beowulf cluster for fast query processing by distributing the database horizontally over nodes through a load balancing act. A mathematical model is proposed to optimally partition data among the nodes. Communication between nodes is to be achieved through MPI (Message Passing Interface).

Explore More Resources

Search Resources

Search to explore resources