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For small N , Eq. (19.6) needs to be used instead. Note that the value of C calculated in Eqs. (19.6) and (19.7) represents the capacity needed such that the cell-loss probability for the aggregate traf c SN E. A dropping policy is needed to distribute cell losses fairly among VCs so that the individual VCs meet their cell loss requirements. The following set of experiments compare the proposal cell-drop policy of Section 19.2.3 with a simpler policy (described below). Rose's MPEG-I video traces [22] were used to drive the simulations. Three video connections were assumed to require an identical cell-loss probability bound E. The necessary equivalent bandwidth for the aggregate was computed using Eq. (19.6), and scheduling was performed either by the dropping policy described in Section 19.2.3 or by the last-in- rst-out (LIFO) policy. In LIFO, newly active nonguaranteed cells that found channel_image[] full were dropped. Table 19.1 shows the results for two different values of E. Surprisingly, the dropping policy of Section

The base Java Security sandbox is comprised of three major components: the byte code Verifier, the Class Loader, and the Security Manager Each of these components must work properly in order for Java to perform in a secure fashion The Security Manager depends on Class Loaders to correctly label code as trusted or untrusted Class Loaders also shield the Security Manager from spoofing attacks by protecting local trusted classes making up the Java API On the other hand, the class loader system is protected by the Security Manager, which ensures that an applet cannot create and use its own Class Loader The Verifier protects both the Class Loaders and the Security Manager against language-based attacks meant to break the VM All in all, the three parts intertwine to create a default sandbox However, the three parts are not created or specified by a standards committee.

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TABLE 19.1 Comparison of the Proposed Dispatcher and a Simple Last-In-First-Out Cell Dispatcher for Distributing the Loss Fairly Among Individual VCsa Experiment Number I II Video Trace Terminator Gold nger Soccer Terminator Gold nger Soccer E Desired 0.01 0.01 0.01 0.001 0.001 0.001 E Delivered (Proposed Dispatcher) 0.0099 0.0098 0.0097 0.000923 0.000981 0.000926 E Delivered (LIFO) 0.0026 0.0121 0.0104 0.00171 0.000931 0.000739

19.2.3 is able to guarantee E for individual VCs while LIFO is not. Both dropping policies dropped exactly the same total number of cells. 19.4.1.2 Scenario 2: Heterogeneous Cell-Loss Proabability Requirements Consider two different classes of traf c with desired upper bounds on cell-loss probabilities, E1 and E2, respectively. Multiple VCs with same delay-jitter bound (frame size) and cell-loss probability requirement are considered part of the same class. Let fXi xi i 1; 2 be the density function for the number of bits=frame transmitted by class i. The following two methods are upper-bound estimates, with progressively tighter bounds and increased computational complexity. The algorithm below generalizes to more than two classes. Alternative 1 The simplest upper bound on equivalent bandwidth is the sum of equivalent bandwidths for each Ei i 1; 2 , computed in isolation. The minimum bandwidth required for class i is the 1 E th quantile of Xi , that is, the smallest Ci that satis es I

Java applications, including Java-enabled Web browsers, are allowed to customize two of the fundamental portions of the security model to suit their needs (the Class Loader and the Security Manager) The security model is much more distributed than many computer security experts would like [Badger and Kohli, 1995] In the end, a great deal of faith is placed in the ability of VM implementations to ensure that untrusted code remains properly contained Bugs in the system will compromise the entire security model In 1996, we complained that there was no formal, high-level security model in Java Instead, the security policy is derived from a collection of low-level detail checking This is difficult because without a formal model it is impossible to say what secure means With no standardized model, each vendor is free to define the term secure In addition, no particular implementation can be verified.

Hub Ethernet LA-SC-02 LA-S-01 10.135.12.03

19:8

P and the equivalent bandwidth is C i Ci . This approach does not consider the statistical multiplexing gains across different classes and overestimates the true equivalent bandwidth needed. The following algorithm gives a tighter upper bound. Alternative 2 Let fX1 ;X2 x1 ; x2 be the joint density of fX1 x1 and fX2 x2 . We assume that traf c classes are spatially independent, that is, fX1 ;X2 x1 ; x2 fX1 x1 fX2 x2 . An algorithm for computing a tighter equivalent bandwidth estimate as follows. If there are K classes, the bandwidth needed for class k at iteration n is computed as follows (compare this to Eq. (19.9)): ! Xi ! 1 Ek 19:13

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