Optimal Tasks Allocation Process Based on Fusion of the Unallocated Tasks for Distributed Systems

摘要

Tasks partitioning and systematic tasks allocation to processors over the distributed real time system for proper utilization of processor?s capacity are very much important factors in distributed systems. Efficient use of available processors enhances the performances of the distributed systems and provide an optimal solution. This paper presents a new mathematical model consisting of a set of m tasks to n processors (where, m n) which performs static allocation of such software program modules that minimizes the application program?s parallel EC, ITCC and maximizes the overall throughput of the system in such a way that the allocated load on all the processors are balanced. The heuristic model deals with the optimal tasks allocation by the fusion of the unallocated tasks with the other allocated tasks.