Real-Time Task Scheduling for Distributed Embedded System using MATLAB Toolboxes

This paper is gives a clear idea about MATLAB based toolboxes for scheduling various real-time problems and to examine the performance of the system prior to its implementation. Two different MATLAB based toolboxes-TORSCHE (Time Optimization of Resources, SCHEduling) and True Time used offers a collection of data structures that allows the user to analyze various issues in resource sharing and scheduling. Further in real-time environment, these simulators are used to obtain an optimum performance by providing a platform to extend the design methodologies and to meet the requirements as demanded by the application with limited resources. Algorithms are implemented either as MATLAB function with fixed structure or as MATLAB function with middle level language constructs. Two modules are designed and simulated for each toolbox. Using True Time Toolbox, fixed priority scheduling algorithm module and CAN networking of four different kernels are simulated and results are analyzed. Using TORSCHE toolbox timing parameter for each task is analyzed for two different scenarios. Finally, a simulation model is built by using True Time toolbox and TORSCHE in MATLAB platform. The toolboxes are intended mainly for research purpose to handle and control scheduling issues in real-time systems. The result indicates that the simulators aids in improving scheduler accuracy and strengthen the real-time character of the system. Using this approach it is possible to evaluate and modify controller designs and hardware platforms to better understand the performance and timing effects.