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Limited resource is the theme that echoes through design considerations for applications that run on small computing devices As a developer, you cannot assume there are sufficient resources on every small computing device to run your application Failure to seriously recognize this theme will result in your application being unable to run on many small computing devices Therefore, it is critical to evaluate processing requirements of each routine within your application Your objective is to exclude routines that increase processing overhead if a less processing-intense routine can accomplish the same task You ll find this line of thought radically different from the mind-set used to write applications for desktop devices and server devices, where you can safely assume that sufficient resources exist to run an application Desktop devices and server devices typically have more than enough resources available to process an application efficiently Data storage is a key area within an application for reducing excessive processing In many applications, developers assign values to data members of a class rather than using a local variable Assigning data to a class member adheres to object-oriented design philosophy, which is prevalent in application design Although encapsulating data within an object tightly controls access to the data, this advantage is realized at the expense of additional processing time whenever the application accesses the data member Accessing a data member of a class requires more processing steps than accessing the same data if the data is stored as a local variable Therefore, accessing a local variable is less processing intense than accessing a class member You can increase processing of your application if you eliminate the extra steps of accessing a data member of a class by assigning values to local variables Of course, you ll need to weigh the gains in processing against the benefits of encapsulating data in a class However, you ll find processing considerations an overriding factor in data-intense applications that run on a small computing device.

<frameset rows="*,*" cols="*,*"> <frame src="circlehtml" /> <frame src="squarehtml" /> <frame src="trianglehtml" /> <frame src="diamondhtml" /> </frameset>

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Concatenating strings is another processing drain that can be avoided by designing an application to eliminate concatenations or at least reduce the number of concatenations to the minimum necessary to achieve the objective of the application Concatenation also increases the application s use of memory in addition to increasing the application s processing requirements, which becomes apparent by comparing processing a string with processing a concatenated string A string is an array of characters terminated by a NULL and stored sequentially in memory Let s assume the application wants to compare two strings, both of which are four characters and reside in memory The application instructs the small computing device to copy the first character of each string into the CPU for comparison This process continues until either the null character is reached or a letter pair is different The entire process might require ten reading instructions and five comparison instructions, depending on when a mismatch is discovered (see Figure 4-5)

The final output, shown in Figure 10-2, has each of the HTML pages appearing in the appropriate frame of the window, based on my illustration

Figure 4-5

FEC0::11:200:CFF:FE12:3456

However, additional processing steps are necessary if one of those strings is a concatenated string Let s divide the first string into two strings, as shown in Figure 4-6 The left string must be concatenated into the first string; afterwards, the first string and the target string are compared The concatenation process introduces six additional processing steps: three instructions to read each character of the second string and three more instructions to write those characters to the end of the first string Besides the increase in processing steps, concatenation also requires more memory than if the first string and second string did not have to be concatenated Notice in Figure 4-6 that the second string remains in memory after the strings have been concatenated Therefore, you can reduce processing time and memory usage by avoiding concatenating strings An alternative is to concatenate strings before the string is loaded into the small computing device If there is a need to concatenate strings, use a StringBuffer object This makes efficient use of memory when strings are appended to the buffer, although there is additional processing overhead

Figure 10-2

It is very common for developers to invoke one or multiple threads within an operation Invoking a thread is a way of sharing a routine among other operations For example, a sort routine can be shared simultaneously by multiple operations that must sort data Each operation invokes the sort routine independent of other operations, although the same code is being executed for all operations Deadlocks and other conflicts might arise when multiple operations use the same routine These problems are avoided by synchronizing the invocations of a thread, as you probably remember when you learned Java programming Always use a thread whenever an operation takes longer than a tenth of a second to run because a thread requires less overhead than non-thread invocation methods, and therefore you ll see a performance increase in your application

This frameset includes two rows and two columns, creating a grid of four frames Each one contains a different HTML page

4:

To view the source of a specific frame, first click inside the frame you are interested in, and then choose View | Frame Source or View | Source depending on your browser Or, right-click inside the appropriate frame and choose View Source

Figure 4-6

Again, remember that routers must never retransmit outside the site; IPv6 packets having a Site Local address as the source address They must obviously retransmit these packets between different subnets of the same site

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