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Have a look now at Figure 12.3. This figure shows an illustration of Don Quixote s login session, which we briefly discussed earlier in this chapter. Remember that the init process the first process to start in a system has a process ID number of 1. The Don logged into the system and the kernel assigned his login shell a PID of 340. To check the PID number, he could have used the echo $$ command. Incidentally, the echo command is one of several built-in commands; thus, when it is invoked, there is no need to create a subshell to run it. Although Don Quixote used the special $$ variable as an argument to echo, $$ is mostly used within shell scripts to distinguish between multiple instances of the same shell script. The value of that variable changes as you move from one (current) process environment to another. At any rate, there he is in the login shell. The PID is 340 and the parent process ID (PPID) is 1 (init process). To further illustrate parent-child

Congestion control techniques are installed capabilities available on routers and switches that have the ability to control flow and deal with excessive traffic during congestion periods One of the first basic points concerning congestion is the perception of its effects on data flows Congestion may influence basic QoS parameters: Congestion can increases packet loss Congestion can increases delay and jitter During congestion periods, packets are dropped out, causing packet loss to increase for the corresponding data flows Depending on the level of congestion, all flows may experience packet losses Transport protocols (TCP or UDP) are also influenced by congestion In TCP, lost packets are interpreted as signaling congestion and cause resynchronization among TCP peers In effect, lost packets trigger the TCP slow-start algorithm and other procedures to adapt TCP flow to the underlying network throughput capacity TCP slow-start triggering results in delay increase and jitter variation.

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In UDP, delay and jitter variation result mainly from either additional packet processing and overload at output queues or resynchronization procedures, whenever they are used at the application level Longer output queues result in longer delay for packets waiting on these queues The congestion control techniques differ in the threshold the moment they start to deal with the congestion problem It is worthwhile to distinguish between congestion management and congestion avoidance techniques Congestion management deals with techniques and strategies used to eliminate congestion once it begins Congestion management comprises reactive techniques, which typically try to manage congestion by reducing data flow intensities over the network Congestion avoidance comprises techniques and strategies that try to prevent congestion from occurring These strategies are proactive techniques that basically try to avoid the nasty effects of congestion on data flows.

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Another important aspect of congestion is the identification or detection of a congestion situation or congestion period The point is: How can congestion be identified, for instance, in a router Typically, an excessive queue length can signal a congestion situation In other words, the queue length is normally the most usual parameter used to identify congestion The actual optimal queue length depends on a number of factors, such as traffic type (bursty, adaptative, etc) The basic approaches used to control congestion are the following: Tail drop Random early detection (RED) Explicit congestion notification (ECN) Tail drop is a straightforward mechanism in which incoming packets are dropped if the output queue for the packet is full RED is a general technique in which packets are discarded with a certain probability in order to prevent congestion [2].

In this chapter, you will learn to do the following: Use more methods of accepting user input Format the output: The % operator The special characters The raw string operator Use intrinsic operations: For numeric data types For strings For lists and tuples For dictionaries

ECN is another technique proposed for routers to modify a congestion situation to ECN-capable end systems..

The first API call in doEncrypt() is for creating the EncryptionContext object. EncryptionContext is the core API in XML Security Suite s implementation, and it maintains the context object for encryption. This context object manages information about encryption, such as the encryption algorithm used, the encryption key used, the data that needs to be encrypted, and the encryption template that is in use. Once we get the encryption context, we create an algorithm factory instance and set it on the encryption context. This factory object will be used by the context when the actual encryption takes place for creating instances of algorithm objects. These calls are as shown in the following code:

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