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This chapter gives an overview of some properties of the storage occupancy process in a buffer fed with ``fractional Brownian traf c,'' a Gaussian self-similar process. This model, called here ``fractional Brownian storage,'' is the logically simplest long-range-dependent (LRD) storage system having strictly self-similar input variation. The impact of the self-similarity parameter H can be very clearly illustrated with this model. Even in this case, all the known explicitly calculable formulas for quantities like the storage occupancy distribution are only limit results, for example, large deviation asymptotics. Scaling formulas, on the other hand, hold exactly for this model. The simplicity is won at the price that the input model is not meaningful at smallest time scales, where half of the ``traf c'' is negative. The model can be justi ed by rigorous limit theorems, but it should be emphasized that this involves not only a central limit theorem (CLT) argument for Gaussianity but also a heavy traf c limit see 5. From a less rigorous, practical viewpoint one can say that fractional Brownian storage gives usable results when, at time scales relevant for queueing phenomena, the traf c consists of independent streams such that a large number of them are simultaneously active, and second-order self-similarity (see 1) holds. 7 describes many features of storage processes with nitely aggregated on=off input traf c, which differ qualitatively from those of fractional Brownian



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In some ways, tabletop drills can be as much fun as complete drills. In a tabletop drill, the recovery coordinator gathers together representatives from each of his recovery teams, sits them around a conference room table, and describes a disaster scenario. The rules of the drill are that this disaster is now unfolding in real time. Without getting up from the table, or calling in other people, the team members describe and discuss exactly what they would do, according to the plan, in a particular situation. A tabletop drill is an excellent way to work out the kinks in a new DR plan without upsetting the entire organization. Although there is no need for fake newscasts or to actually cordon off parts of the building, the coordinator can still make the drill more realistic by throwing some curves at the participants. He can still take people or rooms out of play, and he can change the nature of the disaster on the fly, to make sure the whole scenario is realistic. There should be at least one or two observers at tabletop drills, who can watch the proceedings and take notes for the postmortem. The coordinator will generally be too busy to take notes or make general observations.





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Self-Similar Network Traf c and Performance Evaluation, Edited by Kihong Park and Walter Willinger ISBN 0-471-31974-0 Copyright # 2000 by John Wiley & Sons, Inc.

storage For example, the correlation function of the input process remains unchanged if one changes the distributions of on and off periods to each other, whereas the queueing process usually becomes entirely different Thus second-order self-similarity alone tells nothing about queueing behavior, if the traf c variation cannot be considered Gaussian Another important difference can be seen in how a queue builds up Assume that the individual sources are relatively powerful so that a queue starts to build up when a small number, say, k of them are simultaneously active Then a small increase in link speed can result in a considerable performance improvement, if it happens to increase the small integer k by one A related observation about a possibly big effect of a small increase in buffer size is discussed in 10 in GI =GI =1 context.

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The third kind of drill is the most basic. At any hour of the day or night (although day is better if he wishes to keep the goodwill of his participants), the coordinator picks up his phone and calls the first person on the telephone chain. He informs that first person that this is a phone chain drill, and he should call the next person on his list. (He should, of course, have a copy of the phone chain list accessible at all times.)

In fractional Brownian traf c, in contrast, individual source streams are thought of as being in nitely thin compared with the link speed, and phenomena caused by the granularity of traf c are not re ected in the model On the other hand, if the Gaussian property is suf ciently well satis ed, but second-order self-similarity holds only asymptotically, then some of the techniques presented in this chapter are still usable in a modi ed form See Addie et al [1] As a special case with H 1, the model includes the ``Brownian storage,'' which 2 is often used in the heavy traf c limit as a diffusion approximation for short-rangedependent (SRD) queueing systems.

Each person in the chain should call the next person in turn, and if he cannot reach someone, he should call the next person, until he actually reaches someone. The last person on the list should call the coordinator to close the loop. The goal of the test is to determine if someone cannot be reached, or if someone does not have his phone chain list to continue making calls. The guilty will learn and, everyone hopes, will do better next time.

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