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loads. Load balancing is especially necessary to support the unpredictable and uncontrollable demands of Internet applications. Some application server products offer load balancing.

Facts record the elapsed time associated with each stage Additional facts may be present that track significant values at the time of each milestone..

sources through connection pooling management. It used to be easier to predict a system load. The Internet has certainly changed that, and it can create scaling problems. During the 1999 Super Bowl, for example, an advertisement by sexy underwear merchant Victoria s Secret resulted in 1.5 million people simultaneously attempting to access a live web event, overwhelming the pool of 1000 servers that had been prepared. This phenomenon, called the Slashdot Effect, was named for a popular technology news and discussion site: ssadler.phy. bnl.gov/adler/SDE/SlashDotEffect.html. It can create huge amounts of traffic for sites. Stock-trading sites used to be (and hopefully will again be) vulnerable to huge (and unpredictable) peaks in traffic caused by events in the market. Even on longer time scales, it is difficult at best to predict the growth or popularity of an Internet business. What is required is for Internet infrastructures to scale evenly (without discontinuities in performance), simply, quickly, and inexpensively. It should not be necessary to rearchitect a system repeatedly as it grows. Scalability is more a system problem than a CPU architecture problem. The attributes that a system needs include the following:

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Remember that it is not necessary to make either/or decisions between transaction stars and periodic or accumulating snapshots. Analytic requirements for a particular process may call for a pair of fact tables. In this case, the transaction model should be used as the source for the snapshot or accumulating snapshot.

n Graceful degradation all the way up to 100 percent system load n The ability to add capacity incrementally (CPUs, memory, I/O, and/or disk

The next example sends the result set of the query to the receiver. It could be a job that periodically lists all databases and their log usage and sends this information to the database administrator:

The snapshot and accumulating snapshot are common dimensional design techniques, and many additional examples can be found Whether you are seeking more information or just looking for additional examples, here are some places you will find what you are looking for Snapshot Fact Tables The examples in this chapter have been chosen to illustrate key design concepts Although they are set in the financial services industry, these designs should not be interpreted as a complete treatment of the subject area For a deeper discussion of financial services, consult 9 of The Data Warehouse Toolkit, Second Edition (Wiley, 2002) by Ralph Kimball and Margy Ross The chapter includes an account snapshot model similar to the one presented here, and incorporates other techniques such as mini-dimensions, householding, multi-valued attributes, and stars for separate account types This chapter mentions the snapshot model s applicability when studying inventory.

Some web sites, such as www.CNN.com, revert to lower overhead pages (smaller pages with less graphics) during traffic peaks. One possibility for the future would be to provide peak offload facilities for web merchants. If groups of sites used relatively similar architectures, a site with spare capacity could be kept ready for whoever needs it. If an unexpected peak occurred or an expected peak that didn t justify buying more hardware the contents of the site could be shadowed to the offload facility and traffic divided between the two sites. Techniques such as logical partitioning can also be used to shift system resources. Logical partitioning is available in mainframe systems and allows one large CPU complex to contain multiple logical system images, which are kept completely separate by the hardware and operating system. Portions of the system resources can be assigned to the partitions, with the assignments enforced by the hardware. This allows resources to be shifted from development to production, or between different systems involved in production, by simply shifting the percentages assigned to the partitions. Capacity is affected by scalability for example, one machine handles 500 transactions or five machines handle 100 transactions each.

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