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Note that Eq. (4.9) reduces to the exact expression e 2x in the Brownian case H 1. 2 Moreover, the path space approach gives the additional information that the ``most typical path'' of Z to obtain a high buffer occupancy level x at time 0 is x t T *x H G 1; : 4:10 f t 1 ; where T * 1 H T *x 1 H We used quotes, since this smooth path is in fact very different from really typical paths of fractional Brownian motion. The storage is empty until time T *x, when it starts to ll, reaching x at time 0. The ``typical storage occupancy path with V0 1'' is plotted in Fig. 4.1 in the three cases H 0:5, H 0:9, and H 0:2. Note that for H > 1 , the derivative of f is 1 at T *x and at 0, whereas it is in nite at both points 2 for H < 1. Note also that the ``typical queue-mountain'' is not symmetric when 2 H T 1 . For H > 1 , the buildup phase takes more time than coming down, whereas 2 2 the opposite happens with H < 1 . 2



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allow them to recover from a disaster much more quickly than if they had to restore everything from tape The Board encouraged Pat to look into acquiring such a site Even as he looked for a site, he was developing cost estimates The costs associated with creating a second trading floor were more than the Board was willing to absorb, and so that part of the proposal was set aside, so Pat revised his proposal to include only a hot site for recovering their computer systems The Board was reluctant to spend that money, too, but they agreed to a compromise Pat would bring in an outside consultant to review his proposal and see if it made good business sense In the end, the consultant agreed with Pat, but felt that his recommendations did not go far enough.





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Fig. 4.1 The ``most typical'' storage occupancy path that reaches level 1 at time 0. From top: H 0:5, H 0:9, and H 0:2.

In a similar way, we can estimate the distribution of long busy periods (the peculiarities of busy periods of fractional Brownian storage were brie y explained in Section 4.2.2). There is no such thing as an arbitrary busy period, but the busy period containing the origin (or any other given time point) is a well-de ned object. Let us have a look at the main steps in applying Schilder's theorem to the

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The most important fact that the consultant identified was that when that the CSCE was unable to trade, it cost them $350,000 per day, and it cost their business partners $3,500,000 per day When they heard those cost numbers, the Board quickly decided that a hot site for their computers made a lot of sense Soon, work began to identify an appropriate location for such a site CSCE began working with Chubb Recovery Services (later acquired by Comdisco, which was acquired in 2001 by Sungard Recovery Services), who, after an extensive search, found them a site in Brooklyn However, before CSCE was ready to act, Chubb offered an alternate location in a building they had just acquired in Long Island City, Queens This new site was on a separate power and phone grid from the World Trade Center, and had plenty of telephone service and redundant power.

asymptotics of the busy period containing the origin (for a detailed presentation, see Norros [15]). It can be deduced from the stationarity of the system that, as regards large deviation asymptotics, instead of considering any busy period of length greater than T that covers 0, we can consider one that extends from 0 to T . Denote by Q* s; t the set of paths o P O such that o u o s > u s for all u P s; t . If o P Q* s; t , then the storage process V o has a busy period that contains the interval s; t . We apply once again the scaling trick to obtain P Z P Q* 0; T P ZT > t Vt P 0; T P ZTt > Tt Vt P 0; 1 P T H Zt > Tt Vt P 0; 1 Z P 1 H P Q* 0; 1 : T Now, Theorem 4.4.1 yields (we skip all details concerning open and closed sets) that the distribution tail of the length B of the busy period containing the origin is lim 1 log P B > T I Q* 0; 1 ; 4:11

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