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Now that I have explored some of the problems faced by real time operating systems and looked at some of the solutions they employ, I will look at how we have attempted to solve these problems in EKA2. EKA2 was designed with several requirements that are relevant to our problem: It must be an open operating system; that is it must be capable of loading and executing arbitrary code at run time. This is really a corollary of the next point but is so signi cant that it warrants an explicit statement It was to be a replacement for EKA1. Hence it should have the same functionality and should be compatible with existing application level code written for EKA1 It was to have suf cient real time capabilities to run the frame-level and multiframe-level activities of a GSM signaling stack. This includes

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layers 2 and 3, and part of layer 1, depending on how the hardware is arranged. The rst point eliminates many of the schemes discussed in Section 17.2: it eliminates cyclic scheduling and pure EDF scheduling, for reasons that I ve mentioned previously. So, the scheduling algorithm that we selected was static priority based scheduling, with time slicing between threads at the same priority. We chose this because it is the simplest algorithm, which gives acceptable performance for both real time and non-real time applications, and because the APIs inherited from EKA1 assumed it! We set the number of priority levels at 64, because EKA1 allowed up to 26 different priorities to be explicitly set by applications, and signaling stacks require as many as 30 priorities.

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Once the scheduling algorithm is decided, the other requirements for a real time OS are minimizing priority inversion times and ensuring predictability of execution times for OS services. Minimizing priority inversion times entails minimizing the time for which interrupts and preemption are disabled. This is the role of the nanokernel. The nanokernel provides the most basic services of an operating system: threads, scheduling, mutual exclusion and synchronization of threads, and managing the interaction of interrupts with threads. The nanokernel is small (around 7% of the total code volume of the kernel) but it encapsulates most of the places where interrupts or preemption are disabled. This allows us to maintain tight control over these sections. I have discussed the nanokernel in more detail in previous chapters of this book, so I will not repeat myself here. Instead I will just describe some of the design decisions that we made for the sake of real time performance.

To ensure that we have predictable execution times for OS services, we need to be able to perform operations on the thread ready list in predictable times. The operations we need are: Adding a thread to the ready list Removing a thread from the ready list Finding the highest priority ready thread. We achieve this by using 64 separate linked lists, one for each priority level. We also have a 64-bit mask, in which bit n is set if and only if the list for priority n is non-empty. This scheme eliminates the need to scan

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