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If a specific event is detected, the software can usually be configured to trigger an alert, and the appropriate personal could be notified Check out SystemGuard for Linux by Disoft This software can monitor your servers file systems, daemons, syslog, sulog, system load, and memory It will send you an email when an event occurs You can also check out Appmon by Arcanan for Windows NT/2000 for monitoring events Critical events, such as a full disk drive or an interrupted power supply, are usually noted in an on-screen display on the server console and in the operating systems error log Critical events are significant problems, such as loss of data or loss of functions You can use the error log to get more information about the problem Health logs can be daily, weekly, and monthly statistic reports They will show the overall health of your servers, and network.

Now that I've covered the basics of disassemblers, let's look at a real-world example to show how these concepts can be applied. For this example, I'm going to use the routine in the Windows NT CLOCK.EXE that switches the program between having a titlebar and not having a titlebar. I chose this function for two reasons. First, since I've already examined this routine from the perspective of spy programs, we can do a bit of sanity checking by comparing the results of the two methods. And second, the source for CLOCK comes with the samples that Microsoft ships for Win32 programming. With this, you'll be able to judge how accurate the disassembly process was. For this example, I'll use the output from my own disassembler. I could just as easily have used Microsoft's own DUMPBIN program. However, my disassembler automates some of the things that you'd have to do by hand with the DUMPBIN program, in particular, matching up the call to an API function with its symbolic name. Here's the initial output from the disassembler for the routine in question:

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Health logs will help you to find specific patterns on your servers before they become big problems These logs will show a trend or pattern over the course of the time period that the log was capturing information The following items are typically monitored in health logs: Allocated server processes Available server processes CPU utilization for each processor if there is more than one Connection usage Available memory Virtual memory performance Cache performance.

// Parameters: // WORD handle; // Locals: // LPMODULE lpModule; // LPTDB lpTDB; WORD owner; LAR handle // LAR instruction -> Load Access Rights (of selector).

The match patterns for the templates assess the option elements by their position in document order, not in the order that they're being processed. The result is as follows:

can be totally unacceptable beyond the possibility of improvement or unacceptable until certain changes are made The acceptance test can either be designed under the assumption that the system is acceptable or that it is not If the assumption that the system is acceptable is chosen, the test should be designed to prove it is not A test designed to try to prove that the system is not acceptable would probably include a relatively small set of challenging activities that are key to the system s performance If the system cannot perform some of these challenging activities, then it can be failed On the other hand, if the test design assumption is that the system is not acceptable, then a reasonable amount of standard activity would be included in the test in order for the test to prove that the system is acceptable.

As noted, CSRs may not consent to the above control practices. CSRs may have different ideas from management on the management of the call centre or how customers should be served. CSRs are also likely to disagree with practices they view as having deleterious personal consequences. Labour process theory has illuminated the individual and collective

D O _

If the system can pass most of these standard activities, then it can be accepted Recall that a statement cannot be proven true by example, but it can be proven false by example This latter approach is the more common in acceptance tests but not the more defensible Decision analysis (see 13) provides a rational, defensible way to analyze alternate acceptance test designs, including a seldom used option of no acceptance test or accept the system after veri cation and validation The decision is whether to accept or not accept the system; the other options of accept but x and do not accept until xed should also be included Now test designs are ways to gather information about system parameters about which uncertainty exists This increased information, when collected during the test, may update this uncertainty in ways that are suf cient to justify accepting or not accepting the system.

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