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The average entropy remains a function of T1 ; T2 : that is, S S T1 ; T2 . Figure 18.4 plots S T1 ; T2 S T1 (recall that T1 T2 ) for the a 1:05 throughput series as a function of time scale or aggregation level T1 . Entropy is highest for small time scales in the range $250 ms, and it drops monotonically as T1 is increased. Eventually, S T1 begins to atten out near the 3 5 second mark, reaching saturation, and stays so as time scale is further increased. From our analysis of various long-range dependent traf c traces, we nd that the ``knee'' of the entropy curve is in the range of 1 5 seconds. Note that increasing T1 further and further to gain small decreases in entropy brings forth with it an important problem, namely, if prediction is done over a ``too long'' time interval, then the information may not be effectively exploitable by various congestion control strategies. In the next section,

Figure 4.2 Disabling Java in Netscape Navigator under Windows NT. From the Edit menu, select Preferences. Click on the word Advanced, which will appear in the window entitled "Category" (as shown here). To the right of that window, a series of checkboxes will appear, one of them labeled Enable Java. Click on the check box, removing the check mark. Finally, click OK, and Java will be disabled.

Aggregation Level (seconds)

we show that one strategy selective aggressiveness is effective at exploiting the predictability structure found in the 1 5 second range.

Disabling Java in Internet Explorer 4.x Internet Explorer also allows Java to be disabled. Figure 4.3 explains how Java can be disabled in Internet Explorer 4.x.

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In this section we present a congestion control strategy called selective aggressiveness control (SAC) and show its ef cacy at exploiting the predictability structure present in long-range dependent traf c for improving network performance. Our control scheme is a form of predictive congestion control based on the multiple time scale congestion control framework (MTSC) [46]. Explicit prediction of the long term network state l is performed at SAC's time scale (1 5 seconds). A certain control action e l is made by SAC based on this information about the future and is incorporated into the underlying congestion control to affect traf c control decisions. The overall structure is shown in Figure 18.5. SAC is aimed to be robust, ef cient, and portable such that it can easily be incorporated into existing congestion control schemes. SAC's modus operandi is to complement and help improve the performance of existing reactive congestion controls. Toward this end, we set up a simple, generic rate-based feedback congestion control as a reference and let our control module ``run on top'' of it. SAC always respects the decision made by the underlying congestion control with respect to the directional change of the traf c rate up or down; however, it may choose to adjust the magnitude of change. That is, if, at any time, the underlying congestion control decides to increase its sending rate, SAC will never take the opposite action and decrease the sending rate. Instead, what SAC

Fig. 18.5 The overall structure of predictive congestion control. SAC module is active at time scale (1 5 sec) exceeding the time scale of the underlying congestion control of its feedback loop.

Figure 4.3 Disabling Java in Microsoft Internet Explorer. Unfortunately, under MSIE you can only disable Java on a per-zone basis. From the View menu, select Internet Options. Click on the Security tab. Select the zone for which you want to disable Java (for example, the Internet zone). (For more on zones, see 1.) Then select the Custom radio button and click on the Settings button. A dialog will come up called Security Settings. This is the dialog shown here. Scroll down until you see the Java category. It will have an expanded sub-category called Java permissions. The sub-category will have a list of options. Click on the circle labeled Disable Java, then click OK. You'll then be back at the Security tab. Click OK again, and Java will be disabled.

will do is amplify or diminish the magnitude of the directional change based on its predicted future network state. In a nutshell, SAC will try to aggresively soak up bandwidth if it predicts the future network state to be ``idle,'' adjusting the level of aggressiveness as a function of the predicted idleness. We will show that the performance gain due to SAC is higher the more long-range dependent the network traf c is. 18.4.1 Underlying Congestion Control

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