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A big assumption in the first example is that the cost of downtime is a known quantity. Most organizations have no idea what their downtime really costs, particularly on a per-system basis; they just know that they don t like it. That s OK. By starting with all of the other values, with a little (gasp!) algebra, it s not too tough to solve for cost of downtime. (This is the last serious math in the whole book. We swear! But if you take a few minutes and roll up your sleeves, you ll find that the math here isn t too bad, and it s most worthwhile.) Let s go back and use the data from Example 1, but leave the cost of downtime as an unknown: RB = CD 9,360 RA = 105,160 + (CD 416.5) S = RB RA = CD (9,360 416.5) 105,160 S = (CD 8,943.5) 105,160 If we set savings to zero (S = 0) and solve for CD, we get: CD=105,160 / 8,943.5 = $11.76 per minute (or $705.50 per hour) The $705.50-per-hour figure is a very low one for cost of downtime in most organizations. Of course, most businesses would not be satisfied with a savings of zero dollars over a five-year project. In Table 3.4, we offer some cost of downtime, savings, return on investment, and days to payback values. If required savings was $100,000, then: CD = 205,160 / 8,943.5 = $22.94 per minute, or $1,376.37 per hour



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whenever L y is nite for y > 0. The remainder of the discussion hinges on the following expression for Eq. (9.143), which shows that in Eq. (9.144) we need only be concerned with the situation L y d < K. Lemma 9.16.1. Under Condition (ii), we have L g K g; if g > K; I; if g < K: 9:145

When K 0, Eq. (9.145) reads L g g for all g > 0. When K > 0, the boundary case g K depends on the ner structure of the sequence fvt = ln t; n 1; 2; . . .g. The proof of Lemma 9.16.1 is elementary and is therefore omitted. Lemma 9.16.2. Under Conditions (i) and (ii), whenever L* 0 > K, we have f y g y K L* 0 ; y > 0: 9:146





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OCR technology reads “scanned” printed documents and images, recognizes them and then translates the figures and characters into an electronic file.

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If the required savings was $1 million, then: CD = 1,105,160 / 8,943.5 = $123.57 per minute or $7,414.28 per hour

Proof. Fix y > 0 and d > 0. For each y > 0, Lemma 9.16.1 shows that L L y d K L y d ; I; if L y d > K; if L y d < K; 9:147

Table 3.4 Cost of Downtime and Return on Investments REQUIRED SAVINGS $0 $100,000 $250,000 $500,000 $1,000,000 $2,000,000 $5,000,000 COST OF DOWNTIME PER MINUTE (C D ) $11.76 $22.94 $39.71 $67.66 $123.57 $235.38 $570.82 RETURN ON INVESTMENT N/A 95.1% 237.7% 475.8% 950.9% 1,901.9% 4,754.7% DAYS TO PAYBACK ON A FIVE-YEAR INVESTMENT N/A 1,919 days (Just over five years) 768 days (A little over two years) 384 days 192 days 96 days 38 days

whenever L y is nite. Hence, writing Y d fy > 0 : K L y d < 0g; we conclude from Eq. (9.144) that f y inf K L y d g y K d inf L y :

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Determine your required savings and solve for the required cost of downtime to see if it s reasonable for your environment. However, if you are seriously considering implementing measures to increase your availability, it s a good bet that your cost of downtime exceeds $11.76 per minute ($705 per hour) by quite a bit.

9:148

The nal step up the engagement food chain (Figure 5.6) is recommendations. That s a great place to begin a look at how well your company is listening to the conversation out there. It s important enough to deserve its own chapter called Getting the Message Hearing the Conversation.

Taken to its logical limit, the definition of high availability cited in the preceding text implies that every system can potentially have a different threshold of availability before it achieves high availability. This is absolutely correct. Computer systems vary widely in their tolerance of downtime. Some systems cannot handle even the briefest interruption in service without catastrophic results, whereas others can handle brief interruptions, but not extended ones, and others can even handle extended outages while still delivering on their required returns on investment. Consider the following examples:

9:149

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