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This is unacceptable Perhaps we can replicate the service 100 times and service all 100 clients at once Then the fastest, slowest, and average times will all be at least 3 seconds For the sake of example, suppose that each copy of the large Confirm-and-Pay-for-a-Product module requires 5 Mb (the code requires much less, but the code to have it function as an application service might very well require that much) Replicating the larger module 100 times even if we have enough hardware to support it means that we need 500 Mb of memory just to deal with 100 clients that want to use this one piece of functionality simultaneously! In contrast, suppose that the credit-check operation itself requires only 1 Mb of that 5 Mb By splitting the Confirm-and-Pay-for-a-Product module into smaller independently distributed components, and making things like credit checking into distinct components, we can limit our replication to those parts that need it For example, we can replicate the credit-check operation 100 times, requiring only 100 Mb, not 500 Mb, of space Clearly, the space-efficiency advantage to finer-grained business logic processing makes n-tier deployment attractive If there are bottlenecks in the application, we can identify the components responsible and replicate them as necessary (much like increasing the number of lanes on a freeway) If our components are more fine grained, the cost of this replication (in terms of memory) is less and thus our application will be able to scale better

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Such an optimization process may be enhanced by investigating not only one molecule but a series of isotopically labeled species, which provides supplementary experimental data without introducing new parameters and thus improves the quality of the mathematical treatment There are other molecular properties which may supplement vibrational frequencies in order to enlarge the experimental data base which is necessary to fit the potential function of molecules which are not too large: Coriolis coupling constants (Kivelson and Wilson, 1953), centrifugal distorsion constants, and mean square amplitudes of vibrations (Morino et al, 1952)..

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Triggers are an unquestionably important tool in any large database They make complex data validation possible and enable designers to enforce elaborate constraints Also, they're the only event-driven mechanism in the database, which allows designers to implement all kinds of "active" database features (eg, automatic report generation) However, triggers can also be the source of many a bottleneck Since a trigger is executed when certain events occur, it's a reactive mechanism and implicitly executed Generally, implicit execution is bad: Someone who is invoking that implicit execution may not know he's invoking it The result: Queries start taking much longer than anticipated, for no apparent reason The reason should be obvious In addition to the time required by the explicitly requested operation itself, there's the time required for the implicit trigger execution

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The database is the part of your server-side system that you're least likely to design or extend Sure, you'll write your own application logic You may even implement your own distributed application object system or EJB framework And you might customize the Web server or servlet container to meet your deployment or performance/scalability needs But the database is very

1 Margin requirements A When an investor purchases stock on margin, he or she makes an initial payment similar to a down payment on a house and borrows the remaining funds necessary to make the purchase The investor is buying securities with borrowed money B The Federal Reserve sets the initial margin requirement, which is currently 50 percent For example, if the initial margin requirement is 50 percent on a $20,000 transaction, the investor must deposit $10,000 C The stock exchanges and brokerage houses set the maintenance margin requirement The maintenance margin is the minimum equity an investor must have for a margin position The maintenance margin protects the brokerage rm from being exposed to too much risk For example, if the maintenance margin requirement is 35 percent, this means that the borrower must provide 35 percent of the funds and the brokerage rm lends the remaining 65 percent The investor pays interest on the borrowed funds D Margin provides signi cant leverage to an investor If the price of a stock goes up, the customer s pro ts accumulate much faster The same can be said in regard to the downside If the price of a stock drops, the percentage loss is greater The leverage factor can be calculated as (1 margin %) Example: At a 35 percent margin requirement, the leverage rate is 285 (1 035) If the rate of return on the stock is 10 percent, the rate of return using a 285 leverage rate is 285 percent, or 185 percent more 2 Margin calls A If a stock or portfolio declines suf ciently in price, a margin call will result A margin call happens when the equity in the account has dropped below the margin requirement The investor must increase his or her equity by depositing cash or securities or by selling assets B The following formulas are used to indicate what stock price will trigger a margin call (1) Long (2) Short 3original price 11 initial margin % 2 4 1 maintenance margin %.

Since, as mentioned above, the receiver corresponding to the metric in (9.153) would, in general, be dif cult to implement, one can simplify matters by explicitly assuming the Rayleigh fading case, which, on performing the average over these fading statistics results in

often treated like a black box data is shoved in and extracted without much concern or appreciation for how it works or how to tune it All too often, it's assumed that integrating a database into your application requires only buying the product and adding JDBC calls to your code The reality is, however, that such a simplistic approach won't cut it for large-scale Web applications Your knowledge of the database and judicious use of design techniques to maximize your bang for the buck will play a significant role in improving overall application performance

3original price 11 initial margin % 2 4 1 maintenance margin %

Summary

(E.50)

168 - Investment Planning C For example, an investor buys stock at $50 The initial margin requirement is 50 percent and the maintenance margin requirement is 35 percent If the stock drops to $381 2 the investor will get a margin call The calculation is Long

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