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AJAX In Action [13]

By Root 3883 0
decoding cover aspects of the communication ranging from physical signals passing along the wire (or airwaves), translation of these signals as the 1s and 0s of binary data, error checking and re-sending, to the reassembling of the sequence, and ultimately the meaning, of the binary information. The calling function’s request must be encoded as an object, which is then serialized (that is, converted into a linear set of bytes). The serialized data is then passed to the application protocol (usually HTTP these days) and sent across the physical transport (a copper or fiber-optic cable, or a wireless connection of some sort).

On the remote machine, the application protocol is decoded, and the bytes of data deserialized, to create a copy of the request object. This object can then be applied to the data model and a response object generated. To communicate the response to the calling function, the serialization and transport layers must be navigated once more, eventually resulting in a response object being returned to the calling function.

Model

Local memory

Calling

function

Figure 1.6 Sequence diagram of a local procedure

call. Very few actors are involved here, as the program

logic and the data model are both stored in local

memory and can see each other directly.

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Why Ajax rich clients?

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Local model

Serialization

App protocol

Physical transport

App protocol

Serialization

Remote model

Calling

function

Figure 1.7 Sequence diagram of a remote procedure call. The program logic on one machine attempts to manipulate a data model on another machine.

These interactions are complex but amenable to automation. Modern programming environments such as Java and the Microsoft .NET Framework offer this functionality for free. Nonetheless, internally a lot of activity is going on when a remote procedure call (RPC) is made, and if such calls are made too freely, performance will suffer. So, making a call over a network will never be as efficient as calling a local method in memory. Furthermore, the unreliability of the network (and hence the need to resend lost packets of information) makes this inefficiency variable and hard to predict. The responsiveness of the memory bus on your local machine is not only better but also very well defined in comparison.

But what does that have to do with usability? Quite a lot, as it turns out. A successful computer UI does need to mimic our expectations of the real world at the very basic level. One of the most basic ground rules for interaction is that when we push, prod, or poke at something, it responds immediately. Slight delays between prodding something and the response can be disorienting and distracting, moving the user’s attention from the task at hand to the UI itself. Having to do all that extra work to traverse the network is often enough to slow down a system such that the delay becomes noticeable. In a desktop application, we need to make bad usability design decisions to make the application feel buggy or unresponsive, but in a networked application, we can get all that for free!

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12

CHAPTER 1

A new design for the Web

Because of the unpredictability of network latency, this perceived bugginess will come and go, and testing the responsiveness of the application can be harder, too. Hence, network latency is a common cause of poor interactivity in real-world applications.

1.1.3 Asynchronous interactions

There is only one sane response to the network latency problem available to the UI developer—assume the worst. In practical terms, we must try to make UI responses independent of network activity. Fortunately, a holding response is often sufficient, as long as it is timely. Let’s take a trip to the physical world again. A key part of my morning routine is to wake my children up for school. I could stand over them prodding them until they are out of bed and dressed, but this is a time-consuming approach, leaving a long period of time in which I have very little to do

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