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That added value may be ease of use in its deployment tools, highly optimized performance, support for server clustering (which makes a group of servers able to serve application clients as if it were a single super-fast, super-big server), and so on The key point here is to keep two issues in mind: first, your production applications can potentially benefit from capabilities not supported in the Sun J2EE reference implementation Just because your application s performance stinks on the reference implementation running on your laptop doesn t mean that J2EE is inherently slow The second issue is that any vendor-specific capabilities that you take advantage of in your production applications may impact the vendor-independence of your application..

Biometric testing literature discusses accuracy in terms of the likelihood of these types of errors; however, current terminology refers to type I errors as the False Reject Rate (FRR) and type II errors as the False Accept Rate (FAR) To keep the biometric cognoscenti on their toes, a third notation is also used FRR is sometimes called False Non-Match Rate (FNMR) and, likewise, FAR is sometimes referred to as False Match Rate (FMR) (And to completely confuse anyone remotely interested in biometric testing, but to make our list of error-rate terms complete, False Alarm Rate is sometimes used for False Accept Rate) The FRR and FAR for a biometric system always depend on the match threshold and are always inversely related The match threshold is an empirically determined value such that all match scores greater than or equal to this value are considered positive matches for a given system.

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As the match threshold is increased, it becomes less likely an imposter will be falsely accepted At the same time, however, the likelihood that valid users will be falsely rejected increases For a given system, it is not possible to reduce both error rates simultaneously The improvement of one is obtained only at the cost of the other Depending on the purpose of the system, one type of error might be preferred over the other The best setting is a result of balancing user convenience (few false rejects) with security objectives (few false accepts), and carefully considering the costs and risks of each error type in context..

There s one big challenge with relying on HTTP for web applications. HTTP is a stateless protocol. Each request and response stand alone. Without session management, each time a client makes a request to a server, it s a brand new user with a brand new request from the server s point of view. To deal with that issue, web applications use the concept of a session. A session refers to the entire interaction between a client and a server from the time of the client s first request, which generally begins the session, to the time the session is terminated. The session could be terminated by the client s request, or the server could automatically close it after a certain period of time. A session can last for just a few minutes, or it could last days or weeks or months (if the application were willing to let a session last that long). The Servlet API provides classes and methods for creating and managing session. In this section, we ll look in detail at session creation and management.

The network number uniquely identifies a segment in the network and a host number uniquely identifies a device on a segment. The combination of these two numbers must be unique throughout the entire network. TCP/IP uses the same two components for addressing, but it adds a twist by breaking up network numbers into five classes: A, B, C, D, and E. Each of these classes has a predefined network and host boundary:

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Two methods of the HttpServletRequest object are used to create a session. They are:

Integrals involving the other trigonometric functions can also be handled with suitable trigonometric identities. We illustrate the idea with some examples that are handled with the identity tan x + 1 =

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