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Whereas SOAP is the communication language of Web services, Web Service Definition Language (WSDL) is the way we describe the communication details and the application-specific messages that can be sent in SOAP. WSDL, like SOAP, is an XML grammar. The W3C defines WSDL as an XML format for describing network services as a set of endpoints operating on messages containing either document-oriented or procedure-oriented information. To know how to send messages to a particular Web service, an application can look at the WSDL and dynamically construct SOAP messages. WSDL describes the operational information where the service is located, what the service does, and how to talk to (or invoke) the service. It can be thought of as an XML form of CORBA s Interface Definition Language (IDL). The format of WSDL can look pretty scary, but it isn t really intended to be human-readable. Developers and integrators do not have to understand WSDL and SOAP to create Web services. When you create a Web service from your enterprise applications, most toolkits create WSDL for you. Figure 4.5 shows an example of how this process works. In Figure 4.5, the Web service developer creates a WSDL description with developer tools that inspect the Web service s SOAP interface layer in Step 1. In Step 2, the client application generates the code for handling the Web service (its SOAP handler) by looking at the WSDL. Finally, in Step 3, the client application and the Web service can communicate. Now that we know the language that Web services speak (SOAP), and how the messages are defined (WSDL), how can we find the Web services that we need We discuss this in the next section.

Text describing your JSP (for use in sophisticated development environment that has some GUI-based builder program for creating JSPs).

426 RRM F Fb Yes Yes No Yes H Location table, region table, location cache, node list, hash table No No No No No Local routing table and cover matrix DAG rooted at the destination Yes Yes No RS RMI MP Beacons U MC No No No F F F Yesc Yes Yes Yesd Yes Yes No No No at place notify source at place notify source at place notify source F Intrazone and interzone tables, bordercast tree Intrazone and interzone tables, bordercast tree Intrazone and interzone tables; expected node list; peripheral node list Intrazone and interzone tables, link state table, bordercast tree No Yese Yes No

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<!-- street should be more than 1, less than 25 --> <xsd:element name = "street"> <xsd:simpleType> <xsd:restriction base = "xsd:string"> <xsd:maxLength value = "25"/> <xsd:minLength value = "1"/> </xsd:restriction> </xsd:simpleType> </xsd:element> <!-- city should be more than 1, less than 15 --> <xsd:element name = "city"> <xsd:simpleType> <xsd:restriction base = "xsd:string"> <xsd:maxLength value = "15"/> <xsd:minLength value = "1"/> </xsd:restriction> </xsd:simpleType> </xsd:element> <!-- state should be 2 characters --> <xsd:element name = "state"> <xsd:simpleType> <xsd:restriction base = "xsd:string"> <xsd:length value = "2"/> </xsd:restriction> </xsd:simpleType> </xsd:element> <!-- postalcode should be less than 5 --> <xsd:element name = "postalcode"> <xsd:simpleType> <xsd:restriction base = "xsd:positiveInteger"> <xsd:totalDigits value = "5"/> </xsd:restriction> </xsd:simpleType> </xsd:element> continues

Someone versed with the HTTP protocol at an intermediate level may notice that the extension .ida is not a standard file extension. After we conduct a little research using our favorite search engine, we discover that this extension is part of a poorly documented feature available through an ISAPI filter installed with many versions of the IIS Web server.

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The course of an evolutionary algorithm is an intrinsically dynamic and adaptive process, and the use of fixed parameters runs contrary to this spirit. Obviously, different settings of these parameters might be appropriate in different stages of the evolutionary process. The main parameter in Evolution Strategies that can benefit from dynamic adaptation is the standard deviation g of the Gaussian distribution in the mutation operator. In the initial phases of the algorithm, a big standard deviation might prove useful in order to enable a broad exploration of the search space; while in a later phase, smaller values could be preferable in order to concentrate on refining the most promising optima. This way the static parameter g is replaced by a function g t , with t being the generation counter. In the self-adaptation approach, separate values are kept for each individual s adjustable parameter. xl is thus extended as follows: The definition of an individual x1 I = x1 xn

You might wonder why I recommend measuring the number of system users, the number of subsystems involved, and the age of the system I recommend using these factors as measurement tools because I have found that the risk of control problems rises with the number of users on the system, the interdependence of multiple subsystems, and the age of the system The more people are using a system, the greater the risk that some or all of them will be poorly trained This is an intuitive fact of business life, although I am sure many companies might claim otherwise Similarly, the more systems that need to be cobbled together in a distributed computing environment, the greater the risk for control breakdowns And, the older the system, the more likely it is that the system will have been updated without proper retraining or truly thorough control testing.

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