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2. 3.
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Cancels the shutdown noti cation for applications that have not yet shutdown Sends noti cations to applications to transition back to the active state.
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Summary
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In this chapter I have demonstrated what happens during the rst and the last few seconds of execution of Symbian OS how the operating system bootstraps itself into existence and how it safely shuts itself down again. In the next chapter, I will consider performance, and discuss how you can get the most out of EKA2.
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Real Time
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by Dennis May
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If I could explain it to the average person, I wouldn t have been worth the Nobel Prize.
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Richard Feynman
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In this chapter, I will discuss real time systems, the support that operating systems must provide to enable them and how we designed EKA2 to support them.
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17.1 What is real time
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The term real time is often misunderstood. The canonical de nition of a real time system is the following, taken from the Usenet group comp.realtime1 and credited to Donald Gillies:
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A real-time system is one in which the correctness of the computations not only depends upon the logical correctness of the computation but also upon the time at which the result is produced. If the timing constraints of the system are not met, system failure is said to have occurred.
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Essentially, a real time system has a set of tasks which it must perform, and at least one of those tasks has a deadline by which it must complete otherwise the system will fail to operate correctly. A system may perform both real time and non-real time tasks; the former are the ones with strict deadlines. Some examples are useful at this point: 1. An engine management system has several tasks that need to be done on each revolution of the engine, such as operating the fuel injectors
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See FAQ posting on comp.realtime
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REAL TIME
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and triggering the ignition spark. If these tasks do not occur at the correct times, the engine will either perform badly or not function at all. To get an idea of how much accuracy is required, a typical engine has a maximum working angular velocity of 6000 rpm, or 100 revolutions per second. For optimum performance, the timing needs to be adjusted to within 1% of a revolution, so this equates to a timing margin of less than 100 s 2. Most communication protocols include timeouts to guard against the possibility of data being lost in transit through an unreliable network or transmission medium. If a computer system running one of these protocols does not respond in time, the peer will assume the data has been lost and will retransmit it unnecessarily or possibly even terminate the connection. Typical values of the timeouts range from a few milliseconds to several minutes depending on the protocol concerned.
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A common misapprehension about the term real time is that it implies that the system must operate very quickly. This is not necessarily the case a deadline may be known about well in advance but still be critical. A well-known example here is the problem of ensuring that servers were year 2000 compliant before that date. Another example is the second one I just gave, in which the deadline may be of the order of seconds or even minutes, which is for ever for a computer!
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17.1.1 Hard and soft real time
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In Section 17.1 I give a black and white de nition of real time. In reality a lot of systems have varying degrees of tolerance to missed deadlines. This leads to the following de nitions: A hard real time system or task is one in which a missed deadline causes complete system failure, as described in Section 17.1. A soft real time system or task is one in which a missed deadline causes a reduction in system performance. Typically, the greater the margin by which the deadline is missed, the greater is the reduction in performance, and for some value of the margin the system has failed. Examples of soft real time systems include: 1. A user interface responding to input from the user. The objective here is to provide apparently instant response. Research indicates that the user will perceive a response within 100 ms as instantaneous, and so the deadline is 100 ms from the user s input. However if the response takes 200 ms, no one is likely to mind. If it takes a second, the system could appear sluggish and if it takes more than a minute with no response at all, the user will probably think the device is broken
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