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As we saw in the previous section, the presence of heavy tails is a serious complication that forces us to use relatively advanced IS schemes (as opposed to the rather straightforward exponential twists that can be applied for light tails) One important remark needs to be made: the above complication particularly relates to the large buffer regime, that is, the regime in which rarity is due to the large threshold that needs to be exceeded There are, however, other asymptotic regimes that are interesting to consider, one of them being the so-called many-sources regime In this regime n iid sources feed into a queuing resource that is emptied at a constant rate nc The probability pn that the steady-state buffer content, say Qn , exceeds level nb decreases as a function of n More speci cally, pn decays, under mild conditions, exponentially in n, even when the individual sources have heavy-tailed and/or long-range dependent characteristics As a consequence, in this asymptotic regime, elements of the theory for light tails become applicable again In this section we demonstrate a number of effective IS procedures We restrict ourselves to the discrete-time case A particularly useful result, due to Likhanov and Mazumdar [53], is the following Consider n sources with stationary increments, and let Ai (j1 , j2 ), for natural numbers j1 , j2 such that j1 < j2 , be the traf c generated by the ith source, in slots j1 + 1, , j2 ; we denote by A( , ) a generic source Because of the stationary increments A(j1 + k, j2 + k) has the same distribution as A(j1 , j2 ) for any k Z We abbreviate A(j ) := A(0, j ) We assume that Mk ( ) := E exp( A(k)) < for some positive With.
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where port_number is the TCP port used earlier to create the remote pipe and the server_name is the name of the server that the WinDbg session is running on For example, with a TCP port of 8888 and a server name of MARIOH-LAPTOP, we would specify the following command to make the connection:
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Connect-WinDbg "tcp:Port=8888,Server=MARIOH-LAPTOP"
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Ik := sup ( (b + ck) log Mk ( )), it is shown in [53] that, under the (mild) condition that lim infk Ik / log k > 0, pn decays exponentially: 1 log pn = inf Ik n n k N lim Let k be the in mizer in the right-hand side of the previous display (assumed to be unique), and (k) be the optimizing in the de nition of Ik In this section we will specialize to two different (and rather generic) classes of sources: Gaussian sources and on off sources As is readily veri ed, both are reversible in time, and hence pn can be rewritten as
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