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Many things combine to make a DR plan into a good DR plan. Each of them requires attention to detail and thorough verification. Ultimately, the DR plan is a complete collection of the information and procedures that are required to recover the systems and procedures that make an enterprise successful. The following are some of the critical elements in a good plan: Documentation and prioritization. Identify the essential hardware, software, networking, and other elements that are required for everything to come up at the DR site. Selection of the DR site. There are many criteria that go into the selection of a DR site. Choosing the wrong one could leave you unable to get to the site in an emergency or with a site that is rendered unusable by the same disaster that took out the primary site. Identification of the key people and their backups. Which people are critical for the success of your DR efforts What if those people are not available at the time of the disaster Who can take their place



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It is shown by Meyer et al. [47] that, for a suitable function cH (see below), the RHS of (2.35) converges to fractional Brownian motion. Not only does the scaling by a 2 l hold, but in fact (2.35) scales (in the sense of the nite-dimensional distributions) for any a > 0. Observe that the infrared correction also ensures that the resulting process has stationary increments and equals 0 at t 0. We are, in fact, representing the increment BH t BH 0 , which equals BH t because BH 0 0, a similar idea is behind the integral representation (2.33). Whereas the representation (2.33) involves integration with respect to ``continuous'' white noise dB, the representation (2.35) involves a summation over discrete white noise (i.i.d. Ej;k ), and, as such, is very close to the intuition of a ``Karhunen Loeve representation'' of the process. It is based on translations (by k) and dilations (by j) of the function cH . A value k > 0 corresponds to translation to the right, k < 0





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to the left, j > 0 to dilation, and j < 0 to compression. Thus the limit j 3 I captures the high frequencies and the limit j 3 I captures the low frequencies. Note that Meyer et al. [47] use jH j instead of j. The function cH is continuous, and, in fact, the RHS of (2.35) converges to BH t uniformly on every closed bounded interval t P T ; T . There exist different wavelet representations that differ (1) by the way the low frequencies are represented and (2) by the choice of wavelets. Instead of using cH for both the low and high frequencies, it is possible to generate the low frequencies by using a different function. As shown by Meyer et al. [47], one also has BH t; o

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Creation and training of recovery teams. It is not appropriate for DR responsibilities to lie with individual people, as those people may not be available when they are needed. Responsibilities should instead rest with small teams of people, any of whom can do all of the jobs for which the team is responsible. This may require training, but that training is critical for the success for any DR efforts. Development and implementation of tests and exercises of the plan. An untested plan is just a piece of paper. Any plan, especially one on whose back the survival of the enterprise relies, must be thoroughly and regularly tested. All parties must be confident that the test, in its current form, will work, and that the enterprise will survive and continue after a disaster strikes. Constant revisiting of the plan. Are newly added systems included in the plan Do they get backed up Is their data replicated Who is responsible for the recovery of these systems at the DR site What happens when primary people leave the company Does the plan get updated to reflect personnel changes

timely manner [53, 54]. Otherwise, they are considered to be as useless as if they had been dropped by the network. It has been shown that correlated erasures stemming from queueing can signi cantly impede the ef cacy of packet-level FEC when compared to independent packet drops [2, 12 14]. Little is known, however, about performance analysis of packet-level FEC under self-similar burstiness either from the source traf c itself or interference from cross traf c and this looms as an important challenge. As in the general second-order performance measure case, a starting point is bufferless queueing under self-similar input where the packet loss process with respect to a block of n consecutive packets the packets belonging to a self-similar traf c stream are viewed as totally ordered is analyzed. For simplicity, n can be considered xed although, in general, n is variable. 21.3.3 Short-range Versus Long-range Correlation

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