Algorithm fuzzy scheduling (AFS) for realtime jobs on multiprocessor systems

The computing in Real-time is rapidly focusing much developments technologies so that the real-time jobs are to be scheduled and executed on systems particular time frame. scheduling load balancing techniques distributed face numerous challenges because of lack centralized strategy dispatch multiprocessors systems. In this work, we propose an Algorithm Fuzzy Scheduling (AFS) for includes Arrival time, Deadline Computation as parameters input. approach AFS analyzed compared with Existing (EFA) model evaluation performances from outcome simulation. multiprocessor at higher system by making use fuzzy mechanisms algorithms. experimental results prove proposed achieves a better performance comparatively EFA various factors respect mean turnaroundtime, response count missed deadlines. This initial phase algorithm, will enhanced consider greater number associated decision investigate scope algorithm level parallelism.