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The Grinder can be extended by creating what the troops call a 'plugin' The HTTP test is a particular case of 'plugin' Other plugins can be developed, for example to load test EJBs, or n-tier applications with a Java-based user interface The Grinder can be run on one machine or on several, and being a pure Java application means it can run on different platforms

the network should just be able to obtain the authentic public key of the CA, which makes the problem more manageable Note that the CA can be considered as an off-line TTP Figure 33 shows the information in an X509 certi cate, which is a public key certi cate scheme widely used today It consists of several information items The serial number is used to uniquely identify the certi cate The issuer name is the name of the trusted party that has issued the certi cate The validity period speci es the duration of time for which the certi cate is valid The subject is the entity to whom the certi cate is issued and whose public key is being certi ed The public key information eld contains the public key while the key usage eld provides details about the ways in which the key is to be used This could be either for encryption or for signature The extension eld supports possible extensions Finally, the last eld contains the digital signature of the certi cate authority along with any information needed to verify the signature, such as the algorithms used It is also clear from this description that a CA is required in order to determine the authenticity of the public key of any node, but a single CA cannot be expected to be able to verify the authenticity of the public keys of all the nodes Hence, several proposals have been made in order to distribute the functions required of a CA The steps that a CA needs to follow before certifying a public key are also speci ed in detail All this together forms what is generally called as the public key infrastructure We do not go into the details of this concept A PKI for our purpose is assumed without loss of generality to consist of a group of CAs that can verify the authenticity of the public keys of the nodes in the network Several key management protocols based on the use of public keys have been proposed for wireline networks Examples include IKE [12] and JFK [13] However these solutions that have been proposed for wireline networks are not always applicable to ad hoc networks This is due to the differences in the basic characteristics of the wireline and wireless ad hoc networks discussed earlier Hence, it is necessary to study the solutions proposed for such networks We look at this in the next section.

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A basic example is provided in this section to help you start using the Grinder The example is based on a web application, composed of three JSP pages: Q Q Q login j sp starts a new servlet session and stores a user name in it, which is retrieved as a parameter from the HTTP request status j sp checks the existence of the user name in the servlet session logout j sp also checks the user name in the session If it exists then it invalidates the current session

6-6 Mean-square Regression For a sample of corresponding pairs of nx-dimensional patterns x and nydimensional patterns Y, mean-square regression of y on x produces nydimensional output patterns y = y(x) that minimize the sample average

The following listing shows the first page, login j sp:

< % String user = requestgetParameter("user" ) ; if ((user == null) || (userequals( " " ) ) ) { user = "default"; } sessionsetAttribute("user", user); %> <p>User <b><%= user %></b> logged in!</p> <a href="statusjsp">status</a> </body> </html>

(y[k] Y[k])2

We are interested in knowing the download time of each of the three pages for different numbers of concurrent users The download time of a page is also referred to as the response time, that is, the response time of the request for the page The Grinder configuration is established in a properties file called grinder properties, which must be present in the JVM classpath We set up the properties for the Grinder to request the URLs of the JSP pages, including the request parameters, as shown in this excerpt from the grinder properties file:

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grindercycleParams= \ [keepSession]true,\ [logHtml]false,\ [urlO]http://localhost:7001/loginjsp user=fofito&password=bond007,\ [urlllhttp://local host: 7001/stat usjsp,\ [ur!2]http://localhost:7001/logoutjsp,\ [okO]User <b>fofito</b> logged i n ! , \ [okl]User <b>fofito</b> in session,\ [ok2]User <b>fofito</b> logged out!

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