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TRawEvent event; event.Set(TRawEvent::EKeyDown, EStdKeyBackspace); Kern::AddEvent(event);

able to recognize the arrival of a packet from a new ow. Such a packet would be accepted and its identi er added to the list of active ows if the number of ows currently in progress were less than a threshold, and would otherwise be rejected. A ow would be erased from the list if it sent no packets during a certain time-out interval. Although many additional practical considerations would need to be addressed, such a control procedure does seem feasible technically given recent developments in router technology [17, 19]. Note, nally, that knowledge of the state of network links in terms of the number of ows currently in progress would also allow intelligent routing strategies where ows are not sent blindly to saturated links when other paths are available. 16.5 TOWARD A SIMPLE SERVICE MODEL

class FibVCB extends FJTask { // volatile int number = 0; // as before final FibVCB parent; // is null for outermost call int callbacksExpected = 0; volatile int callbacksReceived = 0; FibVCB(int n, FibVCB p) { number = n; parent = p; } // Callback method invoked by subtasks upon completion synchronized void addToResult(int n) { number += n; ++callbacksReceived; } public void run() { int n = number; // same structure as join-based version

Given the above discussion on possible control options, it is tempting to speculate on the simplest service model capable of meeting identi ed requirements. 16.5.1 Service Classes

Symbian OS provides crash debugger and crash logger utility modules. The crash debugger provides post-mortem analysis of fatal errors that may occur during development usually it is not present in a production ROM. The crash logger, on the other hand, is often placed in production

We envisage a service model with just two service classes, one based on open-loop control for stream traf c and the other using closed-loop control for elastic traf c In this service model, ows destined for the rst class declare just a peak rate that is actively policed by packet spacing at the network ingress Measurement-based admission control would be used to ensure negligible data loss assuming bufferless multiplexing Although, in practice, a small buffer is necessary to account for the non uid nature of traf c, delay and delay variation remain very small Loss and delay performance are independent of any long-range dependence in the rate process of ows A low loss rate (10 9 , say) is compatible with a reasonable average link utilization (50%, say) if the peak rate of ows is not more than a small fraction of the 1 link bandwidth (100, say) [26, Chap.

ROMs so that, for example, the phone manufacturer can diagnose errors that result in a factory return. It is basically a crash debugger that dumps its diagnostic output to a reserved area of persistent storage. Both modules are implemented as kernel extensions. We want them to be available as early as possible, to provide diagnostics of errors that occur during the early stages of the kernel boot sequence. Because of this, their initialization process is slightly different to other extensions. Rather than using the DECLARE_STANDARD_EXTENSION() macro, they implement their own version of the KernelModuleEntry() interface, which will register the modules with the kernel during the variant initialization phase, the phase in which all kernel extensions are called with the entry point reason KModuleEntryReasonVariantInit0. See 14, Kernel-Side Debug, for more details on the crash logger and monitor modules.

16] The necessary characteristics of the closed-loop control are less well understood We can rely on users reacting intelligently to congestion signals, as in TCP, if the network additionally implements queue management mechanisms preventing uncooperative ows from adversely affecting the quality of service of other users A promising solution is to perform per ow queueing with ow identi cation performed ``on the y,'' as suggested by Suter et al [29] The identi cation of the set of ows currently using a link allows the implementation of a simple admission control procedure whereby any packets from new ows are rejected when the number of ows in progress exceeds a link-capacity-dependent threshold.

if (n <= sequentialThreshold) number = seqFib(n); else { // Clear number so subtasks can fill in number = 0; // Establish number of callbacks expected callbacksExpected = 2; new FibVCB(n - 1, this)fork(); new FibVCB(n - 2, this)fork(); // Wait for callbacks from children while (callbacksReceived < callbacksExpected) yield(); } // Call back parent if (parent != null) parentaddToResult(number);

Sharing link capacity dynamically between stream and elastic ows is advantageous for both types of traf c: a very low loss rate for stream traf c is not incompatible with reasonable utilization if elastic traf c constitutes a signi cant proportion of the total load; elastic ows gain greater throughput by being able to exploit the residual capacity necessarily left over by stream traf c to meet data loss.