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Technically speaking, it is not difficult to build a shopping cart object. The main problem is how to manage it in a web-based e-commerce system because the H T T P i s stateless. Generally speaking, there are two issues to be resolved. The first one is how to assign and map a shopping cart to a user. Note that in most B2C e-commerce systems, a user does not need to log into the system before shopping. The second issue is how to keep track of the shopping cart and its contents. This means that by using only the stateless HTTI , a web server does not know whether the current request is from a previous client or from a new client. During an e-shopping situation, we may access the VBS, get a shopping cart, and then browse another web site for a while before returning to the VBS again. The challenge is how to Ggetback the previous shopping cart, in order to continue shopping instead of restarting from the beginning. The solution is session tracking. In this chapter, we will examine the traditional session tracking techniques including Hidden Form Field, URL rewriting, HTTP user authorization, and Cookies. In addition, we will discuss the servlet session tracking API for supporting user authentication and building the shopping cart.

Communication in concurrent or networked programming is often many-to-few, especially in client/server programming. Servers might handle many clients. Each server might need to dynamically activate other servers, spawn new processes, manage pools of resources across multiple service handlers, and maintain integrity of critical sections of code. In addition to synchronized messaging, servers might need to synchronize access to local shared resources. A multithreaded daemon might need to maintain thread-specific storage. A daemon that maintains a process pool and spawns off server instances in response to client requests might need to protect shared memory used by all the process instances. Programmers use several synchronization mechanisms, all based on the paradigm of requesting a lock on a resource, waiting to acquire it, and then releasing the lock after using the resource. Examples of synchronization primitives include mutexes, condition variables, reader/writer locks, and semaphores. These mechanisms have an assumption of good behavior, namely that all processes or threads will use the synchronization mechanism to access a critical resource. Programming errors, complex invocation patterns, or process failure could cause locks to be acquired but not released or for processes to hang in deadlock each waiting on another to relinquish a captured resource.

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Proof Assume (without loss of generality) that the all-zero codeword was sent. Let c be a codeword of weight j , where j # 0. Let the coordinates of c which are 1 be called the 1-coordinatesand let the coordinates of c which are 0 be called the 0-coordinates. There are thus j 1-coordinates and n - j 0-coordinates of c. Consider now the ways in which the received vector r can be a Hamming distance 1 away from c. To differ in 1 bits, it must differ in an integer r number of 0-coordinates and 1 - r 1-coordinates,where 0 5 r 5 1. The number of ways that r can differ from c in r of the 0-coordinates is ("i'). The total probability of r differing from c in exactly r 0-coordinates is

Object receive(int timeout);

cq-1 = -

because inserting y(2) 1 into the last equation gives 4 0.25 3.75. 16. The given ODE is exact and can be written as d(cos xy) 0; hence cos xy c, or you can solve it for y by the usual procedure. y(1) gives 1 c. Answer: cos xy 1. 18. Try Theorem 2. You have R* (Qx Py)/P [ 1 cos xy y x sin xy ( x sin xy x )] y2 P 1 . y

Usually the solution is straightforward and simple to apply. As a rule, if the task takes more than two property values or the processing done is more than a few lines of Java code, it is important to log from that task. Adding logging is also straightforward so there is no reason not to do it. Something to keep in mind as you are applying this solution to your custom tasks is to log at the appropriate level. Logging informational messages at the error level is almost as irritating as not logging errors at all. Because Ant is a declarative means of describing the build and not a programming language, it can be very difficult to debug the declaration, especially if the runtime representation of the target does not provide assistance. There can be no breakpoints set in the execution of an Ant file (unless you want to run Ant in a debugger), so the only debugging technique is to log messages. If a task does not provide debugging messages, developers using a tag will often give up trying and perform the build in another way with tasks that they can make work. It would be a shame to have the task go unused just because it does not provide sufficient logging messages.

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