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File is needed outside its package, it must be declared public, making it accessible to applets But making it public introduces a serious security hole The hole can be plugged by adding a few rules (some code) to the Security Manager (or the Access Controller, as the case may be) As these parts are built by the browser vendor (or some other Java application writer), such a solution is generally not very reasonable It would be better to have some way for javaioFile to be accessible to the javaio and javalang packages, but not to any other code Doing this would create a stronger package system in Java In addition, the way membership in a package is declared is somewhat strange in Java.

A close look at the bit-rate plot in Fig. 12.6 revealed that the effect of a scene change appears to last for two frames; the rst frame after the scene change is also extra large. This was also observed by Ramamurthy and Sengupta [26] by looking at Fig. 12 in Verbiest and Pinnoo [30]. Since our data were produced by the same codec as the data in Verbiest and Pinnoo [30], this is not surprising. We examined lm, Isaura 1, and Isaura 2 and found that linear regression provided a good model for the

number of cells in the rst frame after a scene change. Letting Zn be the number of cells in the nth scene-change frame, and Yn be the number of cells in the succeeding frame, we have Yn a bZn En ; 12:7

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Most languages with package-like modularity use a single file for each module, outlining which code is in the module and who is allowed to access the module The owner of a module can then easily control who is allowed to use code and variables in the module In Java, there is no single declaration of a module or a list of members having access to the module Instead, each class itself declares which package it belongs to That means that an external mechanism (such as the Security Manager or the Access Controller) must decide whether partially trusted code should be allowed to declare itself a member of a particular package Because the package system is more complex than it needs to be, there is more room for error than with a more typical setup..

It is fair to say that there is some art, as well as science, involved in directory design that requires balancing the use of individual rights, group rights, and schema extents without violating the security domain definitions The process logic used with the identity vault can be used to reformat information with the use of XML exchanges For example, the exchange logic may need to reformat the abbreviation St for street used in one directory s schema to be fully spelled out as Street in another directory or access control list For the organization s employees, the file and print services operating systems directory can be also be provisioned from the identity vault The usernames and passwords can be distributed from the identity vault to other services such as e-mail to reduce the number of passwords needed by internal users.

where the En are independent and identically distributed normal random variables with mean zero. For the rest of the intrascene frames, the autocorrelation function and the distribution are important. Figure 13 in Verbiest and Pannoo [30] shows an autocorrelation function of a TV scene; it does not decline geometrically to zero as the video conference scenes do. We obtain similar functions when all of the intrascene frames (excluding the rst two frames of each scene) are treated as a single time series. The left side of Fig. 12.10 shows this function for im and Isaura 1. This method of estimating the autocorrelation function ignores scene boundaries. For example, the last frame of a scene and the rst (counted) frame of the subsequent scene contribute to the lag one term in the autocorrelation function. For lm, this causes the autocorrelation function to have periodic pulses, as shown in Fig. 12.10(c). These pulses are not present in the autocorrelation functions of the rst six scenes and are just an artifact of the aggregation across scenes. A more re ned estimate is obtained by dividing the data into scenes, calculating the empirical autocorrelation function for each scene, and then averaging over the scenes. To be

6 M Crovella and A Bestavros Self-similarity in World Wide Web traf c: evidence and possible causes Perf Eval Rev, 24:160 169, 1996; Proc ACM SIGMETRICS'96, Philadelphia, May 1996 7 D R Cox and V Isham Point Processes, Chapman and Hall, New York, 1980 8 D R Cox Long-range dependence: a review In H A David and H T David, eds, Statistics: An Appraisal, pp 55 74 The Iowa State University Press, Ames, 1984 9 A Dembo and O Zeitouni Large Deviation Techniques and Applications Jones and Bartlett, Boston, 1993 10 N G Duf eld and N O'Connell Large deviations and over ow probabilities for the general single server queue, with applications Proc Cambridge Philos Soc, 118:363 374, 1995 11 N G Duf eld On the relevance of long-tailed durations for the statistical multiplexing of large aggregations.

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