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IT systems (that for many of us are too abstract to comprehend without detailed descriptions and diagrams). The purpose of the text documents and diagrams is twofold:

Modeling and simulation of selfsimilar variable bit rate compressed video: a uni ed approach In Proc ACM SIGCOMM '95, pp 114 125, 1995 P Jacquet Analytic information theory in service of queueing with aggregated exponential on=off arrivals In Proc 25th Allerton Conference on Communication, Control and Computing, p 242 251, 1996 R Jain and S Routhier Packet trains measurements and a new model for computer network traf c IEEE J Select Areas Commun, 4(6):986 995, 1986 P Jelenkovic and B Melamed Automated TES modeling of compressed video In Proc IEEE INFOCOM '95, pp 746 752, 1995 Leonard Kleinrock Queueing Systems, Volume 1: Theory Wiley-Interscience, New York, 1975 T G Kurtz Limit theorems for workload input models In F P Kelly, S Zachary, and I Ziedins, eds, Stochastic Networks: Theory and Applications Clarendon Press, Oxford, 1996 W E Leland and T J Ott.

Going beyond stop()

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UNIX process behavior and load balancing among looselycoupled computers In O J Boxma, J W Cohen, and H C Tijms, eds, Teletraf c Analysis and Computer Performance Evaluation, pp 191 208, Elsevier, Amsterdam, The Netherlands, 1986 W Leland, M Taqqu, W Willinger, and D Wilson On the self-similar nature of Ethernet traf c In Proc ACM SIGCOMM '93, pp 183 193, 1993 W E Leland, MS Taqqu, W Willinger, and DV Wilson On the self-similar nature of Ethernet traf c (extended version) IEEE=ACM Trans Networking, 2:1 15, 1994 N Likhanov, B Tsybakov, and N Georganas Analysis of an ATM buffer with self-similar (``fractal'') input traf c In Proc IEEE INFOCOM '95, pp 985 992, 1995 R Lukose and B Huberman Sur ng as a real option In Proc 1st International Conference on Information and Computation Economies, pp 45 51, 1998 B Mandelbrot and J Van Ness.

Fractional Brownian motions, fractional noises and applications SIAM Rev , 10:422 437, 1968 B B Mandelbrot Long-run linearity, locally gaussian processes, h-spectra and in nite variances Int Econom Rev, 10:82 113, 1969..

To work together to show the whole picture of the design features and aid in the implementation, troubleshooting, operation, and maintenance functions To provide sufficient details for design and implementation of security protection features and access controls

Redefining the stop() method is an easy thing to do, but it is sometimes possible to determine that an applet is doing this by inspecting its byte code. An alternative to redefining the stop() method is wrapping an attack in a try/finally block. This technique is often seen in malicious applets. In fact, today's slickest malicious applets both redefine stop() and use a try/finally strategy. An example is shown in Listing 4.3. Listing 4.3 Using try/finally to defeat ThreadDeath. public void run() { try { //do somthing interesting here } catch(ThreadDeath td){System.out.println("Can't touch this!");} // Return from the dead finally{ Thread.reborn = new Thread(, "new"); reborn.start(); } }

De nition 2.3.2 The multiscale diagram (MD) consists of the graph of ^ ^ ^ z q aq q=2 against q, together with con dence intervals about the z q . A lack of alignment in the multiscale diagram strongly suggests multifractal scaling that is not of the simple type where z q qH. Alignment in the multiscale diagram may indicate the presence of the simple type of multifractal scaling, or selfsimilarity, or both simultaneously as in the self-similar Levy processes above. It is important to note that the question of alignment, just as in the logscale diagram, is relative to con dence intervals, and that conclusions cannot be drawn in their absence. The con dence intervals shown are derived through approximations presented by Delbeke and Abry [27]. To better examine the presence of alignment, it is also of interest to use an alternative linear multiscale diagram (LMD), where hq aq =q 1 is plotted against 2 q. In the LMD the linear form is detected as a horizontal alignment, and the value of h is obtained by estimating its level. Although the LMD is more convenient for visual inspection of alignment, the two forms of multiscale diagram are statistically equivalent in terms of the determination of the linearity or otherwise of z q . Figure 2.5 illustrates the use of the multiscale diagrams by superimposing an analysis of a synthesized FBM and that of actual Internet data (delays of UDP packets as described in Section 2.3.1.2, see Fig. 2.4). The regressions in the underlying logscale diagrams were performed for small scales: j1 ; j2 2; 6 , for each of 11 different q values (as discussed in Section 2.3.1.3, the lowest scale is problematic due to initialization issues). The multiscale diagram in the left plot

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