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In this or other contexts, if the recovery time from overload is relatively long, then we may elect to provide extra capacity (or reduce demand) so that overload becomes less likely However, we do not focus speci cally on actual design and control here; see Duf eld and Whitt [14] for some speci c examples Our main contribution here is to show how the transient analysis for design and control can be done The remainder of this chapter is devoted to showing how to do transient analysis with the source traf c model We suggest focusing on the future time-dependent mean conditional on the present state The present state of each level process consists of the level and age (elapsed holding time in that level).

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Because of the anticipated large number of sources, the actual bandwidth process should be closely approximated by its mean, by the law of large numbers (LLN) As in Duf eld and Whitt [14], the conditional mean can be thought of as a deterministic uid approximation; for example, see Chen and Mandelbaum [8] Since the withinlevel variation process has mean zero, the within-level variation process has no effect on this conditional mean Hence, the conditional mean of the aggregate bandwidth process is just the sum of the conditional means of the component level processes Unlike the more elementary M =G=I model considered in Duf eld and Whitt [14], however, the conditional mean here is not available in closed form In order to rapidly compute the time-dependent conditional mean aggregate demand, we exploit numerical inversion of Laplace transforms.

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(The utilconcurrent version of this class available from the online supplement deals more responsibly with interruptions and time-outs Fancier versions that reduce memory contention on the lock and on the fields may be worth constructing on systems with very large numbers of processors) The CyclicBarrierbarrier method defined here returns the number of other threads that were still waiting when the barrier was entered, which can be useful in some algorithms As another by-product, the barrier method is intrinsically synchronized, so it also serves as a memory barrier to ensure flushes and loads of array element values in its most typical usage contexts (see 227) A barrier may also be construed as a simple consensus operator (see 36) It gathers "votes" among several threads about whether they should all continue to the next iteration Release occurs when all votes have been collected and agreement has thus been reached (However, unlike transaction frameworks, threads using this CyclicBarrier class are not allowed to vote "no") With barriers, many parallel iterative algorithms become easy to express In the simplest cases, these programs might take the form (eliding all problem-specific details):

a simple device driver. The following example shows how a user application might access a serial port. This application simply echoes KBufSize characters from the serial port of course, a real application would be more complex than this, and would be likely to make use of the active object framework to handle the transmission and reception of data.

It follows quite directly from the classical theory of semi-Markov process that explicit expressions can be given for the Laplace transform of the conditional mean More recently, it has been shown that numerical inversion can be an effective algorithm; see Abate et al [1] For related discussions of transient analysis, design and control, see s 13, 16, and 18 in this volume 173 OUTLINE OF THE CHAPTER.

The rest of this chapter is organized as follows. In Section 17.4, we show that the Laplace transform of the mean of the transient conditional aggregate demand can be expressed concisely. This is the main enabling result for the remainder of the chapter. The conditional mean itself can be very ef ciently computed by numerically inverting its Laplace transform. To carry out the inversion, we use the Fourier-

TInt TestSerialPort() { // Load the physical device TInt err = User::LoadPhysicalDevice(_L( 16550.PDD )); if (err != KErrNone && err != KErrAlreadyExists) return err; // Load the logical device err = User::LoadLogicalDevice(_L( SERIAL.LDD )); if (err != KErrNone && err != KErrAlreadyExists) return err; // Open a channel to the first serial port (COM0) RSimpleSerialChannel serialPort; err = serialPort.Open(KUnit0); if (err != KErrNone) return err; // Read the default comms settings TCommConfig cBuf; TCommConfigV01& c=cBuf(); serialPort.Config(cBuf); c.iRate c.iDataBits c.iParity c.iStopBits = = = = EBps57600; EData8; EParityNone; EStop1; // // // // 57600 baud 8 data bits No parity 1 stop bit

class Segment implements Runnable { // Code sketch final CyclicBarrier bar; // shared by all segments Segment(CyclicBarrier b, ) { bar = b; ; } void update() { } public void run() { // for (int i = 0; i < iterations; ++i) { update(); barbarrier(); } // }

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