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There are two broad categories of departures from models possessing a pure scaling feature. One is the presence of nonstationarities that are not in themselves of a scaling nature, and in the presence of which a scaling exponent continues to be well de ned. Here the issue is one of the correct measurement of the constant underlying scaling parameter(s), despite the nonstationary ``noise.'' The other category is the possibilty that the scaling is itself changing in time: that is, the parameters of constant-in-time scaling are not well de ned. A central issue in that case is the reliable detection of such a variation. In the following, special properties of the wavelet approach are exploited to yield partial, but nonetheless signi cant and useful, replies to these two different challenges. 2.3.4.1 Superimposed Trends In many situations of practical interest, the assumption that the data are fully described by a scaling model be it self-similar, fractal, or LRD is much too restrictive to be realistic. This is especially the case when an observed time series is in fact the result of an additive contamination of a scaling process X t by some extraneous contribution T t , that is, Y t X t T t . We will not consider here the case where T t is random (this situation of a scaling process corrupted by some ``observation noise'' is considered, e.g., by Wornell and Oppenheim [79]) but will comment on the case when T t is deterministic and can be thought of as a ``trend.'' A simple model for a trend amounts to choosing T t as a polynomial, say, of order p. If no care is taken when analyzing a scaling process corrupted by such a

One such monitoring applet (possibly an armchair exercise) is called the Business Assassin applet [Dean, et al, 1996; LaDue, 1996] The Business Assassin targets the applets of a particular Web site, such as applets from Gamelan If you place this applet on your homepage, it will start up threads on the remote machine of anyone who surfs your site with Java enabled These threads silently watch for other applets being loaded from Gamelan If the monitoring threads detect the user surfing the Gamelan Web site, they begin the attack The malicious threads make useless any applets coming in from Gamelan They kill the threads of Gamelan applets (something discussed in more detail on page 135) Another feature of the Business Assassin applet (code disabled by default) goes on to launch a denial-of-service attack against anyone who visits Gamelan after running the Assassin.

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bandwidth, resulting in improved performance Without selective, controlled application of aggressiveness, however, the gain from aggressiveness may be canceled out (or even dominated) by its cost aggressiveness, under high network contention conditions, can lead to deteriorated performance, even congestion collapse thereby making predictability and its appropriate exploitation a nontrivial problem Our protocol selective aggressiveness control (SAC) is composed of two parts, prediction and application of aggression, and they are described next 18421 Per-Connection On-Line Estimation of Future Contention In the endto-end feedback congestion control context, the two principal problems that a connection faces when estimating future network contention are: 1 The need to estimate ``global'' network contention using ``local'' per-connection information 2 The need to perform on-line prediction.

First, with respect to requirement (1), since the network is a black box as far as an end-to-end connection or ow is concerned, we cannot rely on internal network support such as congestion noti cation via router support to reveal network state information Instead, we need to gleam in our case, predict future network state using information obtained from a ow's input=output interaction with the network For this to work, two assumptions need to hold in practice First, due to the coupling induced by sharing of common resources, a connection's individual throughput when engaging in feedback congestion control (such as Eq (184)) is correlated with the aggregate ow accessing the same resources Second, aggregate traf c level, when partitioned according to the quantization scheme Lk Vk of Section 1831, is correlated to the contention level at the router that the aggregate traf c enters.

The systems architecture team begins its documentation work by capturing and recording all of the business objectives that the operations units of the enterprise would like to have the computers, applications, and technology in place to accomplish. This information may be derived from other documentation about the business, but to put context and understanding into the process, the team must also interview the right representatives of the entity s business operations. Sometimes these objectives are called business drivers. Drivers or objectives should be expressed in phrases or sentences such as:

On the surface, the Business Assassin applet appears to be harmless; that is because it uses threads to do all the dirty work Threads are not required to stop running when an applet's Web page is exited This means that threads can keep running in the browser after an applet has appeared to finish In order to have the blame pinned on some other applet, hostile threads can be programmed to delay their attack until some future time In the case of the Assassin's threads, an apparent problem in the Security Manager (only addressed recently by Java 2) allows the Assassin threads to attack thread groups that belong to applets other than their own It waits for the target threads from Gamelan to appear and only then initiates hostile activity Applets like the Business Assassin will certainly have a chilling effect on Web-based commerce.

Second, with respect to requirement (2), it turns out that on-line estimation of the conditional probability density PrfL2 jL1 lg is easily and ef ciently accomplished using O 1 cost update operations On the sender side, SAC maintains a twodimensional array or table CondProb of size 8 9, one row for each l P 1; 8 The last column of CondProb, CondProb[l][9], is used to keep track of hl , the number of blocks observed thus far whose traf c level maps to l, that is, L1 V1 l (see Section 1831) For each l H P 1; 8 , CondProb[l][l'] maintains the count hlH Since PrfL2 l H jL1 lg hlH =hl , having the table CondProb means having the conditional probability densities.

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