Parallel processing implementation on clusters of terminals using Java RMI
Sudhir Kumar Meesala · 2012
Problems from many scientific and economic fields need a large computer power for their solution. The numeric simulation of complex systems like weather forecast, climate modeling, molecular biology and circuit design are some of such problem. There are two approaches to solve them. Either an expensive parallel supercomputer has to be used [First], or the computer power of workstations in a net can be bundle to computer the task distributed [Second]. The second approach has the advantage that we use the available hardware cost-effective. This paper describes the architecture of a heterogeneous, concurrent, and distributed system, which can be used for solving large computational problems. We present a concurrent tasks distributed application for solving complex computational tasks in parallel. The design process is parallel processing implementation on clusters of terminals using Java RMI.