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* This is the application's entry point * It retrieves the parameters from the environment and from the * calling arguments and starts execution */ public static void main(String args[]) { if (argslength != 3) { Systemerrprintln("usage: Java -Djswserver=host " + "jswcOSreservationClient matchNumber user password"), return; } Client client = new Client(); try { clientmatchNumber = LongparseLong(args[0]); clientuser = args[l]; clientpassword = args[2]; clienturl = "t3://" + SystemgetProperty("jswserver", "localhost") + ":7001";

The policy managers in this architecture have completely independent and often different policies that they are trying to enforce because they may be managing domains that have very different applications, user needs, and networking requirements The policy managers of the different domains may not need to coordinate and may act completely independent of each other This could be so particularly in cases where the different domains belong to different organizations that do not wish to coordinate (such as competing commercial organizations) or may not have the need to coordinate if they do not share any common traf c or applications In some cases, though, it may be bene cial for the organizations to work together and coordinate their network management functions, especially if they share network traf c and applications In such cases, policy managers of the different domains may share information about speci c events such as details about intruders, and speci c failures, and may coordinate their policy enforcement actions One speci c application of the fully distributed peer-to-peer policy management architecture has been explored by DARPA s Dynamic Coalitions program [112, 113] This program has supported several research efforts in the policy management area and has played a major role in advancing the state of the art in policy management Several technologies developed under that program are discussed later in this chapter In DARPA s Dynamic Coalitions program each domain is assumed to correspond to the network of one of the coalition partners (United States, Sweden, Poland, etc) in a military environment In such an environment, each domain has its own policies managed by the domain s own policy management system It might be necessary for policy management systems across coalition partners to cooperate in order to support the communications among coalition partners Policy coordination occurs only if the coalition partners can negotiate and agree as peers on a set of policies that can be used for supporting the communications among the coalition partners A hierarchical structure does not t this environment because none of the partners would be in control of the complete network A similar situation occurs in commercial applications where there could be multiple competing enterprises that need to communicate and share information Such communications are typically supported by communication service providers Usually enterprises have their own policies.

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Computer simulations can be speeded up or slowed down at the experimenter s convenience You can simulate a flight to Mars or to Alpha Centauri in one second Periodic clock interrupts synchronizing suitably scaled simulations with real time permit hardware in the loop : you can fly a real autopilot or a real human pilot on a tilting platform controlled by a computer flight simulation In this book, we are interested in very fast simulation, for we want to study the effects of many different model changes Specifically, we want to 1 Enter and edit programs in convenient editor windows 2 Use typed or graphical-interface commands to start, stop, and pause simulations, to select displays, and to make parameter changes Results ought to appear immediately to provide an intuitive feel for the effects of model changes (interactive modeling) 3 Program systematic parameter-influence studies and produce crossplots or tables 4 Program model changes to optimize effectiveness measures, and study effects of random parameter changes or random model inputs by taking statistics on repeated simulations (Monte Carlo simulation)

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/** * The application main loop * The application will receive "ticket messages" and will update the * venue display */ public void run() { createFrame(); try { ticketReceiver = new TicketReceiver(); Context context = UtilgetlnitialContext(url, user, password); ticketReceiverinit(context, TicketReceiverTOPIC, "matchNumber = " + matchNumber); loadSeats();

1-2 Differential-equation Models Continuous-system simulation models delayed interactions of physical state variables x1, x2, with first-order ordinary differential equations (state equations)

This way, a user without the correct permissions will not be allowed to purchase more that 5 tickets If an unauthorized user attempts to do this, the system throws the following exception:

.

connection opened JavalangSecurityException:

(d/dt) xi = fi(t; x1, x2, ; y1, y2, ; a1, a2, ) (i = 1, 2, ) (1-1a)

However, users that are authorized will succeed, and the console will show the following message:

user helen could [buyMoreThanS] on [jswcOSTicketServicesSL]

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