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Theoretical plates are determined experimentally for a given solute, by measuring the retention time and the peak width at the base: N tr =s 2 16 tr =w 2 14:6

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behind the entire project. We believe that every bit of information in the book is related to this statement: High availability cannot be achieved by merely installing failover software and walking away. In fact, the best way to ensure that you stick to our mission statement is to follow this piece of advice: Build your systems so that they never have to failover. Yes, of course they will failover, but if you make failover the very last resort, you will truly maximize your availability. Of course, some sanity must be added to the last statement. You can t just throw money at your systems to make them work better. At some point, the additional money will not provide commensurate benefits. The key is to:

Price out your downtime Determine how much you can afford to spend to protect against service outages

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where s is the standard deviation of the (Gaussian) solute elution pro le, and w 4s is the width of the elution pro le measured at the base of the peak, which is readily measured by triangulation of the peak. In practice, N values are determined periodically for a representative solute to check column performance for degradation. The plate theory assumes that complete equilibration occurs in each of the N segments of the column. This assumption is not applicable to all solutes, and because of this, the rate theory was developed. 14.4. RATE THEORY OF CHROMATOGRAPHY2 The rate theory takes into account the nite rate at which the solute can equilibrate between the mobile and stationary phases. The shapes of the bands that are predicted by the rate theory depend on the rate of elution, the diffusion of the solute along the length of the column, and the availability of different paths for the solute molecules to follow. The value of the HETP now depends on v, the volume ow rate of the mobile phase, according to the van Deemter equation, Eq. 14.7: HETP A B=v Cv 14:7

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where A, B, and C are constants for a given column/mobile phase/solute system. The van Deemter equation implies that HETP not only varies with ow rate, but also passes through a minimum at an optimum value of the ow rate. Each of the terms in Eq. 14.7 can be conceptually associated with different phenomena present during a chromatographic separation. The rst term, A, results from the different paths that the solute molecules in the mobile phase take in traveling around or through the stationary-phase particles; its value is independent of ow rate, and smaller particles yield smaller values of A and hence smaller HETP values. The second term, B=v, arises from longitudinal diffusion as a result of the ow pro le, shown in Figure 14.1. The fastest ow of solute occurs in the center of the column; closer to the column walls the ow is slower, and approaches zero in the stagnant layer contacting the walls. Solute in the center of the column at the front of the solute zone is

This necessitates an analysis of the content of the message or record (parsing) that can impact performance when it comes to manipulate the data Flat format with delimiters Here, we can distinguish the flat format with delimiters and sequenced data from the flat format with delimiters and non-sequenced data..

Remember that reliability engineering costs money; it s far more than what you ll spend on hardware or system software. It s an operating-systemindependent cost, and one that hasn t come down as a function of cheaper memory or larger disks. When you spend this money, you are not throwing good money after bad. You are investing money in the critical systems that run your operations so that they can run those operations more of the time. Those messages are probably the most important statements in this entire book. Together they build a message that balances system needs with the harsh realities of budget limitations.

Introducing new technology, such as failover management, into your environment can bring on new problems. These issues are all unique to failover environments; they have no parallel in the single-host world. To be fair, they are quite rare, and you could run clusters for years without ever seeing them.

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