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A Simple Example An easy example of how this works in practice is helpful. First, imagine a policy representing the statement "code from "www.rstcorp.com/" applet signed by 'self' is given permission to read and write files in the directory /applet/tmp and connect to any host in the rstcorp.com domain." Next, a class that is signed by "self" and that originates from "www.rstcorp.com/" applet arrives. As the code runs, access control decisions are made based on the permissions defined in the policy. The permissions are stored in permission objects tracked by the Java runtime system. Technically, access control decisions are made with reference to the runtime call stack associated with a thread of computation (more on this later).

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An example of software replication helps to illustrate these rules. Consider how you build up a directory in which local tools, libraries, manual pages, and other locally important files reside. The standard approach is to have one tools directory on a large file server that all clients share; changes are made to the file server, and all of the clients see them within a short window. Note that the quick-and-dirty method introduces a SPOF at the file server and isn t scalable for performance. If your client load is going to increase over time, you ll need to be able to crank up the horsepower of the tools directory server at the same time, and that means multiple copies of it, close to where its users are on the network. The single tools directory also leaves you open to process weakness in change management. What if your latest software installation has a broken install script and trashes the tools directory With replication and change management you have built processes to recover from internal corruption. Test a new or modified tool by building a new area within the shared directory, verifying operation using the master, and then pushing the replication to the slave servers.

Our detailed study of TCP congestion control in Section 37 will provide an in-depth case study of an end-end approach towards congestion control We conclude this section with a brief case study of the network-assisted congestion control mechanisms used in ATM ABR (Available Bit Rate) service ABR has been designed as an elastic data transfer service in a manner reminiscent of TCP When the network is underloaded, ABR service should be able to take advantage of the spare available bandwidth; when the network is congested, ABR service should throttle its transmission rate to some predetermined minimum transmititon rate A detailed tutorial on ATM ABR congestion control and traffic management is provided in [Jain 1996] Figure 36-8 shows the framework for ATM ABR congestion control In our discussion below we adopt ATM terminology (eg, using the term "switch" rather than "router," and the term "call" rather than "packet) With ATM ABR service, data cells are transmitted from a source to a destination through a series of intermediate switches Interpersed with the data cells are so-called RM (Resource Management) cells; we will see shortly that these RM cells can be used to convey congestion-related information among the hosts and switches When an RM cell is at a destination, it will be "turned around" and sent back to the sender (possibly after the destination has modified the contents of the RM cell) It is also possible for a switch to generate an RM cell itself and send this RM cell directly to a source RM cells can thus be used to provide both direct network feedback and network-feedback-via-the-receiver, as shown in Figure 36-8

Database replication buys you protection against several disasters: corruption of your primary database, failure of an operational system when the MTTR is measured in seconds not minutes, and in some cases protection from a fullfledged physical disaster. Database replication can rely on variations of file distribution tricks, using log replay, built-in database features such as distributed transaction management, or third-party transaction processing and queuing systems that guarantee delivery of transactions to multiple database instances on multiple servers.

Security cards that are able to identify the carrier using advanced authentication algorithms and can safely store secrets like private keys Electronic wallet cards that use several different approaches to store value and provide a kind of electronic cash Transaction cards that take over the role once played by the magnetic stripe commonly found on the back of credit cards Processor cards that carry out proprietary calculations in a black box fashion Memory cards that act as highly portable databases Cards with Virtual Machines that run Java applets

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Database log replay is the simplest approach to database replication. Taking a page from the filesystem replication playbook, a database logs all changes to permanent structures, typically in an undo or redo log that is used for

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