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Duration: 19Ìýhours

At the end of this module, you will be able to analyze the mathematics involved in Rate Monotonic Least Upper Bound Condition along with its challenges and alternatives to it. An extension to RM scheduling policy i.e. Deadline Monotonic Scheduling Policy along with implementation of completion test for determining exact feasibility for Rate Monotonic Scheduling policy is also in scope of this module.

Working on Programming assignments will give system level implementation of real time services and determining the best scheduling policies for meeting the deadlines for the designed real-time systems along with their trade offs.Ìý

Duration: 20Ìýhours

At the end of this module learners will be able to describe the design pattern for real-time services, describe implementation challenges such as unbounded blocking and describe normal operation - request for service synchronization between an ISR and each thread or task, initialization, keep-alive posting, error handling, and termination.

Duration: 10Ìýhours

At the end of this Module learners will know when to use dynamic priority policies, advantages of them for soft real-time, disadvantages for error detection and recovery, challenges of feasibility determination and efficiency compared to fixed priority.

Duration: 13Ìýhours

At the end of this Module learners will be able to describe issues with resources used beyond CPU (memory, I/O, and storage) and how to avoid problems or recover from them.

Duration: 2Ìýhours

Final exam for this course.