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As I mentioned, the lack of writable global data in DLLs can be dif cult when you are porting code to run on Symbian OS However, the operating system does provide a mechanism whereby a DLL can manage writable static data on a per-thread basis using thread-local storage, commonly known as TLS This allocates a single machine word of writable static data per thread for every DLL, regardless of whether the DLL uses it Obviously, the memory overhead is far less signi cant than allocating a 4 KB chunk for each DLL which uses static data However, the price of using TLS instead of direct memory access is performance; data is retrieved from TLS about 30 times slower than direct access, because the lookup involves a context switch to the kernel in order to access the data The use of TLS for per-thread access to global static data is safe because it avoids complications when the DLL is loaded into multiple processes However, for writable static data to be used by multiple threads, this approach must be extended One technique uses a server to store the data, which has the bene t of being able to use static data without the need for TLS, because it is a process The server can make this data available to its clients, which may run in multiple threads3 Of course, the inter-process context switch required to access the server also has performance implications, as I discuss in 11 The TLS slot can be used directly if you have only one machine word of data to store For extensibility, it is more likely that you ll use it to store a pointer to a struct or simple T Class which encapsulates all the data you would otherwise have declared as static Thread-local storage is usually initialized when the DLL is attached to a thread within the DLL entry point, E32Dll() Typically, code is.

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The ripple effect of Sarbanes-Oxley on the CIO and his or her IT department has to be examined through various intermediate stages if we are to obtain any insight into the exact nature of its impact The following sections explore this

.

3 You can nd an example of this technique in the EpocStat product released by Peroon (wwwperooncom/Downloadshtml), for which full source code is available for download

The primary impact on the CEO, the CFO, and the enterprise as a whole arises out of Sections 302 and 404 Section 302 requires the CEO and CFO to personally certify the authenticity, accuracy, and reliability of the organization s financial reports Section 404 requires them to certify the status of the company s internal controls

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158 - Investment Planning C In the investment management industry, the time-weighted return is the preferred method of performance measurement because it is not affected by the timing of cash ows If a client adds funds to an investment portfolio at an unfavorable time, the dollar-weighted return will tend to be depressed If funds are added at a favorable time, the dollar-weighted return will tend to be elevated D As indicated in the previous example, the time-weighted rate of return is less than the dollar-weighted rate of return because the stock performed better in the second year when the investor owned more shares If the stock performed better in the rst year rather than the second year when the investor had fewer shares, the time-weighted return would have been more than the dollar-weighted return 7 Probability analysis, including Monte Carlo A Monte Carlo simulation is a mathematical technique for numerically solving differential equations The technique tends to be computer intensive B To understand how the process works, consider an example of how a complex option might be priced Suppose the option s value is dependent on two underliers, a stock index and an exchange rate Monte Carlo simulation might be used to price such an option as follows: (1) Randomly generate 10,000 scenarios for the value, on the option s expiration date, of the two underliers Do so in a manner that is consistent with an assumed (risk neutral) joint probability distribution of the two variables (2) Determine what the option s expiration value would be in each of the 10,000 scenarios (3) Form a histogram of those results This represents a discrete approximation for the probability distribution of the option s expiration value The discounted mean of the histogram is the estimated option price C Note that this solution yields only an approximate price By using more scenarios say 20,000 instead of 10,000 the precision of the result can be improved D A probability distribution is a mathematical function that describes the probabilities of possible events in a sample space The sum probability of all the possible events in the sample space must equal 1.

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Let s move on now to consider in more detail how active objects work, and how to use them A typical Symbian OS application or server consists of a single event-handling thread running a scheduler (the active scheduler ) which coordinates one or more active objects Each active object requests an asynchronous service and handles the resulting completion event some time after the request It also provides a way to cancel an outstanding request and may provide error handling for exceptional conditions An active object class must derive from class CActive, which is de ned in e32baseh (shown here with only the relevant methods, for clarity) The next chapter discusses details of the base class further

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