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When you boot up an appliance with no configuration, you will find certain default configurations on it One default configuration is for MPF, where a default class map is already configured, shown here:

cities can be reached from which other cities by a direct ight We can modify the ndEmpl procedure to nd all cities that are reachable by a sequence of one or more ights from a given city All we have to do is to replace manager by ight and replace attribute names correspondingly In this situation there can be cycles of reachability, but the procedure would work correctly since it would eliminate cities that have already been seen

10:

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Pay Mix: 70/30

We have now studied object-oriented databases built around persistent programming languages, as well as object-relational databases, which are object-oriented databases built on top of the relation model Database systems of both types are on the market, and a database designer needs to choose the kind of system that is appropriate to the needs of the application Persistent extensions to programming languages and object-relational systems target different markets The declarative nature and limited power (compared to a programming language) of the SQL language provides good protection of data from programming errors, and makes high-level optimizations, such as reducing I/O, relatively easy (We cover optimization of relational expressions in 13) Objectrelational systems aim at making data modeling and querying easier by using complex data types Typical applications include storage and querying of complex data, including multimedia data A declarative language such as SQL, however, imposes a signi cant performance penalty for certain kinds of applications that run primarily in main memory, and that perform a large number of accesses to the database Persistent programming languages target such applications that have high performance requirements They provide low-overhead access to persistent data, and eliminate the need for data translation if the data are to be manipulated by a programming language However, they are more susceptible to data corruption by programming errors, and usually do not have a powerful querying capability Typical applications include CAD databases We can summarize the strengths of the various kinds of database systems in this way: Relational systems: simple data types, powerful query languages, high protection Persistent-programming-language based OODBs: complex data types, integration with programming language, high performance Object-relational systems: complex data types, powerful query languages, high protection These descriptions hold in general, but keep in mind that some database systems blur the boundaries For example, some object-oriented database systems built around a persistent programming language are implemented on top of a relational database system Such systems may provide lower performance than object-oriented database systems built directly on a storage system, but provide some of the stronger protection guarantees of relational systems.

Table 10-2 lists the default inspection protocols/applications, protocols, and source and destination ports the appliance is expecting and inspecting them on N/A indicates any port For example, by default the appliance is expecting the FTP control connection to be

The McGraw Hill Companies, 2001

Application/Protocol CTIQBE DCERPC DNS FTP GTP H323 H225 H323 RAS HTTP ICMP ILS IM IPSec Pass-Thru NetBIOS RPC RSH RTSP SIP Skinny (SCCP) SMTP SQL*Net TFTP XDMCP

Summary

Protocol TCP TCP UDP TCP UDP TCP UDP TCP ICMP TCP TCP UDP UDP UDP TCP TCP TCP/UDP TCP TCP TCP UDP UDP

Many object-relational database systems are built on top of existing relational database systems To do so, the complex data types supported by object-relational systems need to be translated to the simpler type system of relational databases To understand how the translation is done, we need only look at how some features of the E-R model are translated into relations For instance, multivalued attributes in the E-R model correspond to set-valued attributes in the object-relational model Composite attributes roughly correspond to structured types ISA hierarchies in the E-R model correspond to table inheritance in the object-relational model The techniques for converting E-R model features to tables, which we saw in Section 29, can be used, with some extensions, to translate object-relational data to relational data

Source Port N/A N/A 53 N/A 2123 and 3386 N/A N/A N/A N/A N/A N/A N/A 137 138 111 N/A N/A N/A N/A N/A N/A N/A 177

98 Summary

Destination Port 1748 135 53 21 2123 and 3386 1720 1718 and 1719 80 N/A 389 1 65539 500 N/A 111 514 554 5060 2000 25 1521 69 177