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The Proactor pattern offers a variety of benefits: Separation of concerns. The Proactor pattern decouples application-independent asynchronous mechanisms from application-specific functionality. The applicationindependent mechanisms become reusable components that know how to demultiplex the completion events associated with asynchronous operations and dispatch the appropriate callback methods defined by concrete completion handlers. Similarly, the application-specific functionality in concrete completion handlers know how to perform particular types of service, such as HTTP processing. Portability. The Proactor pattern improves application portability by allowing its interface to be reused independently of the underlying operating system calls that perform event demultiplexing. These system calls detect and report the events that may occur simultaneously on multiple event sources. Event sources may include I/O ports, timers, synchronization objects, signals, and so on. For example, on real-time POSIX platforms the asynchronous I/O functions are provided by the aio_*() family of APIs [POSIX95].

The Internet services in our BSD UNIX example are implemented in separate processes. This design increases their robustness and prevents unauthorized access to certain resources, such as files owned by other users.

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As methane is a powerful greenhouse gas the reduction may have important consequences for global climate change An experiment was undertaken involving treatments simulating acid-rain deposition on a peat bog with the levels of methane ux recorded (Gauci et al 2002) A further analysis considered the relationship of the extent of methane ux with peat temperature and water-table depth; that is, two naturally occurring variables This required use of multiple regression and is considered here The dependent variable is methane ux and the independent variables are peat temperature and peat water table The data can be plotted as two separate graphs (Fig 17) or combined in a three-dimensional graph in which the two independent axes are at right angles to each other (these may look impressive but it is often very dif cult to read the values and so they are not included here).

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The plots of the dependent against the independent values separately show that the percentage of methane ux increases with temperature and with water-table depth Notice that the r2 values of these two are quite low (30 and 24% of variance explained respectively) although the regressions are signi cant (P = 00045 and 0012) There is also the suggestion that there is a problem with the distribution of the residuals (Fig 18) There are ways of dealing with these issues without further sampling, such as transformations of data, which were undertaken by the authors of the paper: we will consider this later Here we will focus on the raw data and ignore the odd patterns of the residuals..

Clearly, it depends upon the CLP In Example 41, the statistical multiplexing gain is a factor of almost 5 The special case of requiring CLP D 0 is usually referred to as deterministic multiplexing Example 41 (Statistical multiplexing) Consider a discrete-time model of an unbuffered link that can carry 950 cells per epoch There are x identical sources In each epoch each source produces between 0 and ve cells; suppose the number is independently distributed as a binomial random variable B5; 0:2/ Thus, h D 5 and xpeak D 950=5 D 190 The mean number of cells that one source produces is m D 5 0:2 D 1, and the number of cells that 900 sources produce is approximately normal with mean 900 and variance 0:2 0:8 900.

2 3 5

S1 S1 [2.6 10 3 + 6.7 10 6 ] = 0.010 . 2 2

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