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To describe the FES method, we consider the central-server model given in Fig. 8.12 where we suppose that a product-form solution exists. For this network we can construct an equivalent network by choosing one node (e.g., node 1) and combining all other nodes to one FES node c. As a result we get a reduced net consisting of two nodes only. This network (shown in Fig. 8.13) is much easier to analyze then the original one, and all computed performance measures are the same as in the original network. To determine the service rates ~Jlc), k = 1,. . . , K of the FES node, the chosen node 1 in the original network is short circuited, i.e., the mean service time of this node is set to zero, as shown in Fig. 8.14. The throughput in the short circuit path with k = 1,. . . , K jobs in the network is then equated to

Some of the lengthier configurations and examples from this book are also available in a zip file from the Downloads section of the Apress Web site (http://www.apress.com). These include the iptables firewall script from 2, the BIND named.conf configuration files from 11, and a variety of other configuration files and scripts.

Per serving: Calories, 570; Protein, 48 g; Fat, 33 g (52% cal.); Cholesterol, 125 mg; Carbohydrates,16 g; Fiber, 3 g; Sodium, 610 mg.

cally attached to the PC s parallel port, which could be interrogated by the software. The simplest just had a serial number; the most common executed a simple challenge-response protocol; while some top-end devices actually performed some critical part of the computation.

t the heart of your Linux system is the Linux kernel and operating system Combined, these form the base level of your system on which all your applications run Comparatively speaking, the Linux operating system and kernel are actually reasonably secure A large number of security features are built in the kernel, and a variety of security-related tools and features come with most distributions or are available in open-source form Additionally, Linux offers exceptional control over whom, how, and what resources and applications users can access So, where are the risks Well, as the old saying goes, The devil is in the details The security of your system depends on a wide variety of configuration elements both at the operating system level and the application level Additionally, the Linux operating system and kernel are complex and not always easy to configure.

speci cation of design patterns [5] must be translated into -sentences (i.e., in the syntax of the LAMBDES tool). The translation is fairly straightforward because both languages use the same basic concepts of object orientation. For Template Method pattern, we get the following: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Template Method Pattern Specification % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% formula(exists([ %Components: xAbstractClass, xTemplateMethod, xOthers], and( %Static conditions: Class(xAbstractClass), ownedOperation(xAbstractClass,xTemplateMethod), ownedOperation(xAbstractClass,xOthers), isLeaf(xTemplateMethod,bTrue), not(equal(xTemplateMethod,xOthers)), isLeaf(xOthers,bFalse) %Dynamic conditions: callsHook(xTemplateMethod,xOthers) ))). The translation mentioned above must meet the general correctness requirement (De nition 5.4.6). De nition 5.4.6 (Correctness of Translation) Let p be a predicate on models, and p be a predicate on systems. The predicate p is a correct translation of p if for all models M, we have M |= p s D (s |= ([[M]] p )), where D is a subject domain. Once a speci cation Spec(P) of pattern P is translated correctly into Spec (P), then given a design model M represented in UML diagrams, we can decide whether the design M conforms to pattern P by proving or disproving the logic statement [[M]] Spec (P) in FOL. For example, the translated speci cation of the Template Method pattern can be deduced from the formulas generated from the class diagram in Figure 5.13.

leave one of the drives without a letter. The Disk Management tool, which you need to make this change, will allow you to do that though. Here s how it works:

In fact, Linux systems are nearly infinitely configurable, and subtle configuration changes can have significant security implications Thus, some security exposures and vulnerabilities are not always immediately obvious, and a lack of understanding about the global impact of changing configuration elements can lead to inadvertent exposures Furthermore, security on Linux systems never stays static Once secured, your system does not perpetually stay secure Indeed, the longer you use your system, the less secure it becomes This can happen through operational or functional changes exposing you to threats or through new exploits being discovered in packages and applications Securing your system is an ongoing and living process Many of the steps and concepts in this chapter you will apply more than once (for example, after you make an operational change to reaffirm the required level of security), or you will apply on a regular basis to keep your security level consistent.

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