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Figure 1813(b) shows the corresponding plots for a 1:95 traf c where a similar ordering relation is observed Figure 1815 shows the packet loss rates corresponding to the throughput plots shown in Fig 1814 As expected, for the threshold schedule, packet loss rate increases monotonically as the aggressiveness threshold is increased The generic (or regular) linear=exponential decrease congestion control incurs the least packet loss rate among the controls due to its conservativeness in the linear increase phase,.

Fig. 18.14 (a) The horizontal lines show throughput when different control strategies are employed (top line: perfect prediction with inverse schedule; middle line: on-line table with inverse schedule; bottom line: generic linear increase=exponential decrease congestion control without SAC) for a 1:05 traf c. (b) Corresponding throughput plot for a 1:95 traf c.

The book is set up in such a way that each chapter s information provides the necessary background information for ideas that are discussed further or used in subsequent chapters. Skipping chapters or reading them out of order isn t advised unless you are already familiar with the earlier chapters content. 1 begins with a discussion of what IT architecture is and is not, and 2 introduces the eight concepts that constitute privacy of information and examines the protection of the data housed in your computer systems.

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CHAPTER SECTIONS: 1 / 2 / 3 / 4 / 5 / 6 / 7 / 8 / 9

albeit, at the cost of reduced throughput. Comparing Figs. 18.15(a) and 18.15(b), we observe that the overall packet loss rate for a 1:05 traf c is higher than that of a 1:95 traf c, which is expected due to the higher level of self-similar burstiness. 18.5.3.3 Impact of Long-Range Dependence The previous results, in addition to demonstrating a speci c way to utilize correlation structure in self-similar traf c, showed that selective aggressiveness when coupled with predictability can lead to performance improvement above and beyond what a generic linear increase=

Fig. 18.15 (a) Corresponding packet loss rates for the control strategies shown in Fig. 18.13 for a 1:05 background traf c. (b) Corresponding packet loss rates for a 1:95.

exponential decrease feedback congestion control can achieve The latter is of import since one of the practical applications of SAC is targeted at improving the performance of existing protocols In this section, we show that the relative performance gain due to selective aggressiveness control and predictability grows as long-range dependence increases Figure 1816 compares the relative performance gain stemming from employing predicted inverse schedule SAC for a 1:05 and a 1:95 background traf c First, note that the throughput level for the generic feedback congestion control is higher for a 1:95 traf c than a 1:05 traf c This is as expected since self-similar burstiness is known to lead to degraded performance unless resources are overextended, at which point the burstiness associated with short-range dependent traf c is dominant in determining queueing behavior.

A more serious denial-of-service attack than browser-killers involves opening large numbers of very large windows. There are a couple of reasons why this kind of attack should be considered more severe. The side effects of this attack tend to freeze access to the keyboard and mouse while the applet runs. This makes the applet harder to control. Also, the way these windows are created and mapped makes it possible to pop up untrusted Java applet windows without the mandatory warning they are supposedly required to display. A denial-of-service applet based on this idea would be very similar to the ones we discussed on page 128, with the addition of the window-popping code shown here: // In the code below, littleWindow is of type Frame // Adapted from an idea by Mark LaDue try { // create a window littleWindow = new bigFrame("Whocares"); // make it very big littleWindow.resize(1000000, 1000000); // position it to cover everything littleWindow.move(-1000, -1000); // finally, open the window littleWindow.show(); } catch (OutOfMemoryError o) { repaint(); } class bigFrame extends Frame { // constructor method Label 1;

3 starts describing how a discipline of architecture practice manifests itself in the enterprise infrastructure to achieve system objectives. It includes a discussion of the documentation that both defines and enforces systems architecture in the enterprise. 4 introduces the big blocks external forces, internal influences, and IT assets that drive systems designs, and the role they play. 5 begins to frame the security discussion in a uniform way by setting the definitions for the essential ingredients of security. It discusses the limits of today s technology for providing nonrepudiation from authentication methods and explores these security basics:

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