Schedule and Overhead Trace of Mixed Critical Applications using Litmus-RT

Mixed critical applications are real time applications which have combination of both high and low critical tasks. In the work carried out, different synthetic workloads and case studies are used for extracting the schedule and overhead data on a real time operating system. The Linux kernel is recompiled with Litmus-RT API to monitor the scheduling decisions and also measure the overheads incurred. Litmus-RT API is used to monitor the schedule decisions and overheads incurred during scheduling on Linux based machine. The schedule decisions are monitored on a quad core system for partitioned-EDF scheduling (P-EDF). Two processor variants namely ARM processor and Intel processor are used to extract the data set.  The ARM cortex processor with 600MHz speed on R-Pi model B is used in the research work. Another variant used is the Intel i7 processor with a speed of 2.8GHz. Both the systems used have homogeneous quad core processors. The tasks sets are run on the operating system and scheduling algorithm used is P-EDF with three different allocations algorithms proposed by the researchers to achieve fault tolerance. The data set consists of tasks sets used along with allocation tables, schedule trace and overhead trace files for all the tasks sets taken for experimentation.