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The ability to measure response time in the DSS environment is the first step toward being able to manage it For this reason alone, monitoring DSS activity is an important procedure One of the issues of response time measurement in the DSS environment is the question, What is being measured In an OLTP environment, it is clear what is being measured A request is sent, serviced, and returned to the end user In the OLTP environment, the measurement of response time is from the moment of submission to the moment of return But the DSS data warehouse environment varies from the OLTP environment in that there is no clear time for measuring the return of data In the DSS data warehouse environment, often a lot of data is returned as a result of a query Some of the data is returned at one moment, and other data is returned later.

Re ne coarse ne Interface: At the end of each timestep, the boundary conditions or ghost cells on the ner levels are updated by performing both a spatial and a linear temporal interpolation. The temporal interpolation is required during the W-cycle on all ner levels, shown as dotted lines in Figure 10.6. When the lockstep cycle is used, there is no need for temporal interpolation. Spatially, either a trilinear or triquadratic interpolation method may be used. Details on the quadratic interpolation method are described in Ref. [30]. Coarsen: At the end of each timestep, the conserved quantities are conservatively averaged from the ne to coarse levels using Qcoarse level = 1 Z

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Defining the moment of return of data for the data warehouse environment is no easy matter One interpretation is the moment of the first return of data; another interpretation is the last return of data And there are many other possibilities for the measurement of response time; the DSS data warehouse activity monitor must be able to provide many different interpretations One of the fundamental issues of using a monitor on the data warehouse environment is where to do the monitoring One place the monitoring can be done is at the end-user terminal, which is convenient many machine cycles are free here and the impact on system-wide performance is minimal To monitor the system at the end-user terminal level implies that each terminal that will be monitored will require its own administration.

53 If the ozone layer over the US were compressed into a layer of temperature 0 C at 1 atmosphere pressure, it would have a thickness of only 3 mm. As a 0.01 mm thickness of an ozone layer is de ned to be 1 Dobson Unit (DU), the average thickness of the ozone layer over the US is about 300 DU.

In a world where there are as many as 10,000 terminals in a single DSS network, trying to administer the monitoring of each terminal is nearly impossible The alternative is to do the monitoring of the DSS system at the server level After the query has been formulated and passed to the server that manages the data warehouse, the monitoring of activity can occur Undoubtedly, administration of the monitor is much easier here But there is a very good possibility that a system-wide performance penalty will be incurred Because the monitor is using resources at the server, the impact on performance is felt throughout the DSS data warehouse environment The placement of the monitor is an important issue that must be thought out carefully The trade-off is between ease of administration and minimization of performance requirements.

Note Don t confuse the template file used for extracting attributes with the template file (with a file name extension of .dwt) that you use as a basis for opening a drawing. Keep in mind that you can t use ASCII template files with the Attribute Extraction Wizard; you can only use the .blk templates that you create with the wizard.

One of the most powerful uses of a monitor is to be able to compare today s results against an average day When unusual system conditions occur, it is often useful to ask, How different is today from the average day In many cases, it will be seen that the variations in performance are not nearly as bad as imagined But in order to make such a comparison, there needs to be an averageday profile, which contains the standard important measures that describe a day in the DSS environment Once the current day is measured, it can then be compared to the average-day profile..

After you create the block, you cannot edit the attributes in the Properties palette. I cover other techniques for editing attributes later in this chapter.

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