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In the following we summarize related work in the area of using heavy-tailed distributions in traf c modeling.

GLDEF_C TInt _E32Dll_Body(TInt aReason) // // Call global constructors or destructors //

Fig. 15.14 (a) Histogram (empirical density function) for interarrival times during two hours of the AT&T WorldNet modem user trace. (b) Histogram of Weibull shape parameter c for the AT&T WorldNet modem user trace over 12 minute time periods.

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{ if (aReason==KModuleEntryReasonProcessDetach) { TUint i=1; while (__DTOR_LIST__[i]) (*__DTOR_LIST__[i++])(); return KErrNone; } if (aReason==KModuleEntryReasonExtensionInit1 || aReason==KModuleEntryReasonProcessAttach) { TUint i=1; while (__CTOR_LIST__[i]) (*__CTOR_LIST__[i++])(); } return KernelModuleEntry(aReason); }

Bolotin [6] studied a year's worth of complete call records for phone calls and found that their call duration is better described by a mixture of lognormal distributions than exponential distributions Duffy et al [12] suggest that heavytailed distributions with possibly in nite variance=mean might be best suited for describing the durations of phone calls Marshall and Morgan [29] note that the empirical statistical distributions of localarea network traf c have longer tails than an exponential distribution They observe that some of the interarrival time histograms look as if they could be well tted by a lognormal distribution or a mixture of two lognormal ones Fowler and Leland [17] showed that local-area network traf c has a high level of variability on every time scale that they measured Such observations are inconsistent with the assumption of exponential distributions As mentioned earlier, Willinger et al.

[42] explain the self-similar nature of Ethernet traf c as the result of superposition of many on=off sources where the length of the on and off periods are heavy tailed Fractal-like behavior has also been observed in VBR video traf c [20] Paxson and Floyd [35] nd that for wide-area traf c Poisson processes are only valid for modeling the arrival of user sessions (TELNET and FTP connections) and that they fail to model other arrival processes Traf c processes that are better modeled using self-similar processes include FTP data connection arrivals, FTPDATA bytes, and TELNET packet interarrival times Paxson [33, 34] examines the behavior of TELNET, NNTP, SMTP, and FTP wide-area TCP connections His results show that lognormal, Pareto, and extreme distributions yield statistically better models for the tails of a variety of parameters.

As the previous code shows, the kernel invokes _E32Dll with a reason code, which it uses to control how DLLs are loaded. Each reason code is passed during a particular stage in the boot process.