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Consolidation is, however, a powerful force for improving the simplicity and manageability of an environment. It comes with the cost of having to invest even more engineering effort in making the larger, consolidated server more reliable and robust. The moral of the story is Go ahead and put all your eggs in one basket; just make sure the basket is built out of titanium-reinforced concrete. A new trend is emerging, though, that may render this particular principle moot in a few years. Vendors are linking together hundreds or even thousands of very small systems called blades, and developing pseudo-backplanes and shared networks to connect them together, enabling these blade computers to act as a massive cluster. The biggest obstacle so far is administration; few mainstream tools allow easy administration of hundreds of systems, even ones that share applications and operating systems. Those technologies will likely appear in the next few years. We ll discuss blade technology further in 22, A Brief Look Ahead.

around the input stream However, we won't wrap any filters around the output stream, because we will be writing bytes directly into the output stream private void processRequest() throws Exception { // Get a reference to the socket's input and output streams InputStream is = ; DataOutputStream os = ; // Set up input stream filters BufferedReader br = ; } Now we are prepared to get the client's request message, which we do by reading from the socket's input stream The readLine() method of the BufferedReader class will extract characters from the input stream until it reaches an end-of-line character, or in our case, the end-of-line character sequence CRLF The first item available in the input stream will be the HTTP request line (See Hypertext Transfer Protocol for a description of this and the following fields) // Get the request line of the HTTP request message String requestLine = ; // Display the request line Systemoutprintln(); Systemoutprintln(requestLine); After obtaining the request line of the message header, we obtain the header lines Since we don't know ahead of time how many header lines the client will send, we must get these lines within a looping operation // Get and display the header lines String headerLine = null; while ((headerLine = brreadLine())length() != 0) { Systemoutprintln(headerLine); }

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Unlike Netscape's Object Signing and Sun's signing tools (which work on JAR files), Authenticode signing will only work on cabinet (CAB) files. There's nothing special about the CAB format; it's just another way of archiving many files into one. However, it's the only archive format IE supports for signing Java code. Say we have an applet that consists of two files: file1.class and file2.class. We can create a CAB file in the same directory by typing the following at the DOS prompt: cabarc N test.cab file1.class file2.class If there are no other class files in the directory, we can also type: cabarc N test.cab *.class

When people speak of the end-to-end nature of availability, they usually think of all of the components between the user and the logically most distant server. While those components are, of course, all links in the chain of availability, they are still not the whole story. After all, either a piece of equipment is functioning, or it is not. If we maintain our user perspective on availability, another element needs to be considered: performance. Since our user cares about getting his job done on time, the performance of the system that he is attempting to use must also be considered. If the system is running but is so overloaded that its performance suffers or that it grinds to a halt, then the user who attempts to work will become frustrated, possibly more frustrated than he would if the system were down. So, in addition to monitoring system components to make sure they continue to function, system performance must be monitored from a user s perspective. Many system tools can be used to emulate the user experience, as well as to put artificial loads on systems so that high-water marks for acceptable levels of resource consumption can be determined. We believe, however, that benchmarks are not nearly as useful or practical as vendors would have you believe. In general, benchmarks can be tweaked and modified to get almost any desired results. At least one disk array vendor

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has a sales agreement that specifically prohibits its customers from running or publishing any benchmarks related to the vendor s equipment, and the vendor has enforced this prohibition in court on more than one occasion. Benchmarks rarely measure what people actually do on their systems. They seldom mimic multiuser systems, where users are working in a manner in which users actually work. And, unfortunately, benchmarks become less and less valid the more that the testing environment differs from reality, and it doesn t take a lot of differences to make the benchmark totally worthless. To a user who is trying to use a computer system, very little difference can be detected between a down system and a very slow one, and as the system slows down more and more, no difference is discernible at all. Back in the heyday of the Internet, an Internet consulting company, Zona Research, estimated that $4 billion a year was lost due to users attempting to buy things on slow web sites, then giving up and canceling their purchases. Although that number has surely come down in the time since the Internet boom, even a single cancelled transaction should be enough to give a company reason to stop and think.

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