• AN EFFECTIVE JOBS PROGRAMMING EXAMPLE IN DISTRIBUTED TREATING ORGANIZATIONS EMPLOYING ANN

Abstract

The individual channel is shared by all the processors for Inter-Processor Communication (IPC) in an administered organization. A program whose executing is broadcast amongst several C.P.U.s in a broadcast organization has the total actioning cost equal to the sum of Executing Costs and Inter-Processor Communicating, which are occasion of the number of information broadcast. An optimum appointment is a dispersion of jobs that has lowest total executing cost. The neural specification is used to form jobs clusters between maximally linked tasks and to restrict the clusters size, the average load to be assigned to each processor. The Artificial Neural Network (ANN) based model has been discussed in this paper. The model provides near to optimal solution for assigning a set of “m” tasks of a program to set of “n” processors where “m >> n” in such a way that allocated load on all processors is balanced according to the average load. For testing the efficiency of the algorithm, several sets of input data have been considered for all program categories, and it is found that our algorithm resulted optimal allocation in most of the cases.