Object mobility for performance improvements of parallel Java applications

This paper describes a framework that employs Java and mobile objects to pr ovide an efficient, parallel-computing environment in a heterogeneous, scal able computing cluster. The framework consists of migratable active objects performing computational tasks and static objects for managing them. The p roposed Framework simplifies the development of parallel applications by pr oviding means for transparent object distribution among the nodes. It also improves the overall run-time performance by efficient, cluster-wide resour ce utilization. The framework uses adaptive resource management algorithms which are particularly attractive for executing parallel programs with unpr edictable resource requirements and in clusters with heterogeneous machines . Our experiments show a significant improvement in the execution time of p arallel applications when using the proposed schemes. (C) 2000 Academic Pre ss.