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Routing protocols are divided into two main categories static routing protocols and dynamic routing protocols Static routing protocols are those that require a network administrator to establish and maintain them If a routing table change is required, the network administrator must manually make the change This ensures absolute security, but is labor intensive and therefore less frequently used other than in highly secure environments (eg military, health care) or network architectures that are designed around static routing because the routes are relatively stable anyway (IBM s Systems Network Architecture, SNA, for example) More common are dynamic routing protocols, in which network devices make their own decisions about optimum route selection.



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They do this in the following general way: They pay attention to the network around them; collect information from their neighbors about best routes to particular destinations based on such parameters as least number of hops, least delay, lowest cost, or highest bandwidth; archive those bits of information in tables; and then selectively flush the tables periodically to ensure that the information contained in them is always as current as possible Because dynamic routing protocols assume intelligence in the switch and can therefore reduce the amount of human intervention required, they are commonly used; in fact, they are the most widely deployed routing protocols Dynamic routing protocols are further divided into two subcategories, centralized and distributed Centralized routing protocols concentrate the route decision-making processes in a single node, thus ensuring that all nodes in the network receive the same and most current information possible.





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(Convert.ToInt32(timerOutputText.Text) + 1).ToString(); }); } Since the work method happens on a different thread, the Dispatcher must be used to make changes to the user interface. A button on the user interface is again hooked up to a method that starts/stops the timer: private void timerButton_Click(object sender, RoutedEventArgs e) { if (threadTimer != null) { threadTimer.Change(0, Timeout.Infinite); timerButton.Content = "Start Timer"; } else { if (threadTimer != null) threadTimer.Change(Convert.ToInt32(dueTimeTextBox.Text) * 1000, Convert.ToInt32(periodTextBox.Text) * 1000); else threadTimer = new Timer(new TimerCallback(doSomething), null, Convert.ToInt32(dueTimeTextBox.Text) * 1000, Convert.ToInt32(periodTextBox.Text) * 1000); timerButton.Content = "Stop Timer"; } } You instruct the timer to stop by setting the period to Timeout.Infinite. The Change method is used to restart the timer also. This is the only way to interact with the Timer after it has been created, except for destroying it via Dispose.

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Advance through the data series in this fashion until no more data points are left to analyze As should be evident, the system is optimized on a sample of historical data and then traded After some period of time, the system is reoptimized and trading is resumed The sequence of events guarantees that the data on which trades take place is always in the future relative to the optimization process; all trades occur on what is, essentially, out-ofsample data In walk-forward testing, M is the look-back or optimization window and K the reoptimization interval Self-adaptive systems work in a similar manner, except that the optimization or adaptive process is part of the system, rather than the test environment.

When a switch or router needs routing information that is not contained in its own table, it sends a request to the root node asking for direction There are significant downsides to this technique First, by concentrating the decision-making capability in a single node, the likelihood of a catastrophic failure is dramatically increased If that node fails, the.

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As each bar or data point comes along, a self-adaptive system updates its internal state (its parameters or rules) and then makes decisions concerning actions required on the next bar or data point When the next bar arrives, the decided-upon actions are carried out and the process repeats Internal updates, which are how the system learns about or adapts to the market, need not occur on every single bar They can be performed at fixed intervals or whenever deemed necessary by the model The trader planning to work with self-adapting systems will need a powerful, component-based development platform that employs a strong language, such as Cf f, Object Pascal, or Visual Basic, and that provides good access to thirdparty libraries and software components Components are designed to be incorporated into user-written software, including the special-purpose software that constitutes an adaptive system.

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