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There are various client-side functions that can be used to send an event to a WSERV client. Examples are RWsSession::SendEventToWindowGroup and RWsSession::SimulateRawEvent. These functions are policed by SwEvent to spot rogue applications that generate events designed to break other applications. WSERV has many global settings that can be changed by any client. These include keyboard repeat rate, system pointer cursor list, default fading parameters and current screen size mode. Since these settings affect all clients of WSERV, we must intervene if rogue applications try to set them to bad values. So we police them using WriteDeviceData. WSERV has two APIs that are concerned with switching off the mobile phone. One of these is RWsSession::RequestOffEvents(), which an application calls if it wants to receive off events. Only one application can receive these events, as it is then in charge of making sure that the system is ready to be turned off (for example, ensuring all data is saved) and then calling the kernel to power down the device. The other function, RWsSession::PrepareForSwitchOff() is called to tell WSERV to stop its timer so that the processor can be switched off if the timer continued to run it would wake the processor up again. These APIs are both protected by PowerMgmt.

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Now, we illustrate Theorem 10.3.6 with the following example (for more examples see Jelenkovic [32, 34]). Example 10.3.9. Parameterize the distribution of AB as aB 1 p, aB pd=ia 1 , n i 0 P 1 i B 1, aB 1 B 1 ai , where d 1=z a 1 and z x is a Zeta funcB i 0 tion. For the choice of arrival parameters B 300, a 2:8, and p 0:3 we compute d 1=z a 1 0:273345, aB 0:7, aB 0:0820=ia 1 , 1 i B 1, rB i 0 0:34086. For these values we numerically invert the z-transform of the queue

interface Callable { Object call(Object arg) throws Exception; }

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stationary process X Xk : k ! 1 is called asymptotically self-similar (with selfsimilarity parameter H, 0 < H < 1), if for all large enough m, X % m1 H X m ; where X m X m k : k ! 1 is the aggregated process of order m, given by X m k 1 X Xkm ; m k 1 m 1 k ! 1:

Summary

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The process under consideration is the number of connection arrivals per time unit In the past [5, 7, 20, 27, 35, 41] various graphical tools, such as ``variance time plots,'' ``pox plots of R=S,'' and ``periodogram plots,'' and statistical tools, such as ``periodogram-based MLE estimate,'' have been used to estimate the Hurst parameter Using these tools on the HTTP connection arrival from the busy hour of the ^ external AT&T dataset from March, the estimates are H 0:749 for the variance ^ ^ time plot; H 0:764 for the pox plot of R=S; H 0:796 for the periodogram plot ^ (not restricted to the lower frequencies); H 0:737 with a 95% con dence interval from 0715 to 0758 for the MLE Whittle estimate based on the periodogram Similar estimates have been derived for other subsets of the traces.

The use of Object here (awkwardly) accommodates, for example, adaptation of methods accepting multiple arguments by stuffing them into array objects While there are other options, it is most convenient to package up support mechanics via a single class that coordinates usage The following FutureResult class shows one set of choices (It is a streamlined version of one in the utilconcurrent package available from the online supplement) The FutureResult class maintains methods to get the result Object that is returned, or the Exception that is thrown by a Callable Unlike our Pic versions where all failures were just indicated via null values, it deals with interruptions more honestly by throwing exceptions back to clients attempting to obtain results To differentiate properly between exceptions encountered in the service versus those encountered trying to execute the service, exceptions thrown by the Callable are repackaged using javalangreflectInvocationTargetException, a general-purpose class for wrapping one exception inside another Also, for the sake of generality, the FutureResult does not itself create threads Instead, it supports method setter that returns a Runnable that users can then execute within a thread or any other code Executor (see 414) This makes Callables usable within lightweight executable frameworks that are otherwise set up to handle tasks initiated via oneway messages As an alternative strategy, you could set up a Caller framework that is otherwise similar to Executor, but is more specialized to the needs of service-style tasks, for example supporting methods to schedule execution, check status, and control responses to exceptions