• RAMAPPA HIREMANI
• Siddesha K
• Kavitha Narayana B M

A scheduling system for real time scenario consists of clock, processing hard-ware elements and clock. In real time systems, a task/process exhibits schedulability in which real time system accepts the tasks and does task completion based on the task deadline defined in the scheduling algorithm. To perform the real time scheduling, different scheduling algorithms were developed and are able to man-age the multiprocessor architectures. However, these algorithms are leading to new challenges in scheduling due to more complexity of the multiprocessors. Al-so, the scheduling algorithms cannot be evaluated without a real as well as complex implementation. This manuscript focused on the study and performance analysis of different multiprocessor real time schedulers. The performance analysis is carried out by using SimSo scheduling tool that extracts the scheduler class from python. In this, the scheduling algorithms like Deadline Partitioning (DP)-WRAP, EKG, Earliest deadline first (EDF) are studied and analyzed for their performance. From the analysis is observed that Load on EDF is much different than EKG and DP-WRAP as it meets deadlines. Most of the time, the schedulers like DP-WRAP and EDF are considered as partitioned scheduler most of the time and also DP-WRAP scheduler generates lot of migrations. Hence, EDF scheduler is considered as more efficient than DP-WRAP and EKG schedulers based on preemptions and migrations. However, some of the jobs are aborted due to dead-line misses.

Real time scheduling, Multiprocessor, Scheduling algorithms, Preemptions and Migrations

"Study and Performance analysis of different multiprocessor real time schedulers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.d574-d578, September-2021, Available :http://www.jetir.org/papers/JETIR2109366.pdf

"Study and Performance analysis of different multiprocessor real time schedulers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppd574-d578, September-2021, Available at : http://www.jetir.org/papers/JETIR2109366.pdf