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Biochem 179, 1989, 229 235 12 K A Homer and D Beighton, Anal Biochem 191, 1990, 193 197 13 W Stocker, M Ng, and D S Auld, Biochemistry 29, 1990, 10418 10425 14 B B Kim, V V Pisarev, and A M Egorov, Anal Biochem 199, 1991, 1 6 15 S Naderi and D L Melchior, Anal Biochem 190, 1990, 304 308 16 L Zinterhofer, S Wardlow, P Jatlow, and D Seligson, Clin Chim Acta 44, 1973, 173 178 17 S D Haemmerli, A A Suleiman, and G G Guilbault, Anal Biochem 191, 1990, 106 109 18 P Duffy, C Mealet, J M Wallach, and J J Fombon, Anal Chim Acta 211, 1988, 205 211 19 P F Cerpovicz and R S Ochs, Anal Biochem 192, 1991, 197 202 20 M J Todd and J Gomez, Anal Biochem 296, 2001, 179 187 21 J J Burbaum, J Biomol.

Throughout this book, we often discuss application and data performance, and when we do, we usually mention benchmarks and performance analysis Benchmarks are the best way to measure the performance of an application, but like so many other useful tools, they can be useful in the hands of a welltrained professional and dangerous in the hands of an amateur Nearly every vendor, hardware, operating system, networking, and application, offers benchmark results, and not remarkably, these results always indicate that their products are much faster than their competitors products This is, of course, because vendors naturally publish the benchmarks that make their products look best And by publishing benchmarks, they hope that they will prevent their customers and prospects from taking the time to run their own, with results that may not be quite so positive.

The real questions are how can every vendor s benchmarks indicate that their products are the fastest, and how does this apply to your environment The answer is that most vendor benchmarks are useless to most of their customers (It is very interesting to note, by the way, that some vendors have rather remarkable clauses in their sales contracts that specifically prohibit their customers from running performance benchmarks on their equipment for any reason) Computer performance is the result of dozens of complex variables that can interact in unpredictable ways, and by finding the exact combination of variables that puts their product in the best light (and their competition in the worst), vendors can make some fairly outrageous claims that often have little validity in real-life scenarios.

Screening 5, 2000, 5 8 22 P Lavery, M J B Brown, and A J Pope, J Biomol Screening 6, 2001, 3 9 23 D A Wells, High Throughput Bioanalytical Sample Preparation, Elsevier, New York, 2003..

To be fair, there are some standard benchmark suites that have been run reliably across different platforms and applications for a long time Although these benchmarks certainly allow for a fairer comparison between different hardware and software combinations, unless the conditions under which they were run match your environment precisely, they are still not especially valuable When a comparative benchmark is taken, and only one variable has been changed, the result is an interesting study that shows the benefits of the new variable But, again, whether that variable will work as well in your own environment cannot be determined without running similar benchmarks in that environment The only way to be sure that a product s performance will be adequate for your computing environment is to run your own benchmark in an environment that is as close to the production environment in which the deployed products will run as possible.

That means that the test environment must include the same system hardware, the same storage hardware, the same networking and interconnects, the same type and size of data, the same applications, the same user loads, the same system loads, the same number of active users on the system, and so much more What s more, all software and firmware must be at the same patch levels Despite all of this, if you run the same benchmark 10 different times, you can easily get 10 different sets of results (continued).