A distributed algorithm for performance improvement through file replication, file migration, and process migration

The author presents a distributed algorithm that considers the number of read and write accesses to files for every process type, the number of processes and their demands on system resources, the utilization of bottlenecks on all machines, and file sizes. Performance improvement obtained with the algorithm is discussed and proved. A number of experiments executed in a distributed system in order to predict the impact on performance of various algorithm strategies are examined. The experiments show changes in system performance due to file and process placement, file replication, and file and process migration.