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vendor and made available to customers. As companies pack greater numbers of servers in their server farms, they are using pizza-box-size servers called rack servers that can be stacked in racks. These computers run cooler, and therefore can be packed more closely, requiring less space. To further increase density, companies are using a server design called a blade. A blade is a card about the size of a paperback book on which memory, processor, and hard drives are mounted. Computer vendors originally developed workstations to provide the high levels of performance demanded by technical users such as designers. Workstations are typically based on RISC (reduced instruction set computing) architecture and provide both very-high-speed calculations and high-resolution graphic displays. These computers have found widespread acceptance within the scienti c community and, more recently, within the business community. Workstation applications include electronic and mechanical design, medical imaging, scienti c visualization, 3-D animation, and video editing. By the second half of the 1990s, many workstation features were commonplace in PCs, blurring the distinction between workstations and personal computers.

The ADO.NET DataReader is a forward-only client cursor. It can be loaded into a DataTable if needed. The DataAdapter includes methods to insert, update, and delete data from the DataSet s DataTable back to the database.

ReDim MyDynamicArray(indexes)

If you are working in an environment that has a mix of Samba and Windows NT servers, use an NT server as your WINS server. If Samba is your only file server, choose a single Samba server (nmbd daemon) to supply the WINS services.

2. If the write buffers become full, subsequent writes are delayed until the write buffers become empty. For the worst case, add w clocks. 3. Accesses are aligned. Add three clocks to each misaligned access. Operands are in the data cache. Add 3 + (number of wait states) for each cache

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THE LIMITATIONS OF EXPERT SYSTEMS. Despite their many bene ts, available ES methodologies are not always straightforward and effective. Some factors that have slowed the commercial spread of ES are provided in Online File W12.18. In addition, expert systems may not be able to arrive at any conclusions. For example, even some fully developed complex expert systems are unable to

Figure 7-3

Reasoning through your assumptions about why something might be a good idea enables you to see the strengths and weaknesses of your proposed design. In so doing, it enables you to be in a better position to commence the design process. We have shown you how to begin this, through operationalizing relevant usability goals. In addition, the following questions provide a useful framework with which to begin thinking through the problem space: Are there problems with an existing product If so, what are they Why do you think there are problems Why do you think your proposed ideas might be useful How do you envision people integrating your proposed design with how they currently do things in their everyday or working lives How will your proposed design support people in their activities In what way does it address an identified problem or extend current ways of doing things Will it really help

It is very likely there are unapplied transactions lost with the transaction log and the database is inconsistent. It is recommended to fall back on your backups and use the steps documented for damaged database le. 1) Restore full backup. 2) Restore latest differential backup (if needed). 3) Restore all the transaction-log backups since the last differential or full backup. Transactions made since the last backup will be lost.

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is the Greek hedge statistic vega (kappa). We then use 1 in the next iteration to nd 2. We continue the following iteration at step i: i +1 = i C BS ( i ) Cmarket BS ( i ) (7.4)

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