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Several elements affect how and where the adaptation process is performed. How the content is adapted depends on the type of the content at hand. For instance, the origin server can perform content selection when it has access to multiple versions and it can also transcode. However, an intermediary can typically only transcode content on the y between the source and the destination. The location of the adaptation is often determined by the knowledge of the terminal capabilities. Only network elements having such knowledge can perform adaptation. Ideally the origin server should perform adaptation but if it doesn t or can t, then an intermediary should take over. In the case of mobile browsing, adaptation is usually performed by an intermediary, such as WAP gateway, because it has knowledge of terminal capabilities and can perform transcoding taking into account the terminal capabilities, something that very few Websites offer to wireless devices. Figure 7.14 shows different adaptation architecture con gurations. Each con guration shows where the adaptation is performed and where the terminal

To power the SitePlayer Telnet box you can either plug it in normally with its wall wart or fashion a power plug from an old DC adapter. If you recall, the SitePlayer Telnet box uses a standard 7805 voltage regulator, so it can handle the 16 VDC from the Roomba. You could fashion a good reusable connector if you plan on using the SitePlayer Telnet System box in this configuration, or you could do what was in Figure 11-12 and create a simple power tap. If you ve built your own SitePlayer Telnet Roomba adapter circuit, as in Figure 11-13, you don t have to worry about power problems because the circuit has its own voltage regulator and taps the Roomba battery in the standard way via the Mini-DIN 8-pin plug.

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1For a more complete explanation of how this function works, see B. Stroustrup, The C++ Programming Language, 2nd Ed. (Addison-Wesley, 1991), pp. 92-93.

2451 Other Communication Tasks Among communication tasks other than broadcasting, one of the most important is gossiping, also called all-to-all broadcasting [26] Every node of the network has a message, and the goal is to get all messages to all nodes Gossiping has been extensively studied in the context of radio networks as well Note that for gossiping to be possible, the network must be a strongly connected graph Distributed deterministic gossiping under the assumption that nodes know only their label is studied in [14, 15] In [14], a gossiping algorithm is shown that works in time O(n3/2 log2 n) for n-node networks In [15], a different algorithm is designed It is faster than the above for sparse networks of small diameter D Indeed, it works in time O(D 2 log3 n), where D is the diameter of the network and its maximum, in degree.

The rallying cry of Perl mongers around the world is There s more than one way to do it. That is also true with MySQL. If you ve got a keen eye for SQL, you will recognize that the code I present is often not the easiest, most elegant, or optimized choice. However, aside from being useful, all of the examples were carefully chosen to illustrate a point to anyone less confident with their database hacking. For those of you who are new to SQL or to MySQL s variety of it, you simply must bookmark MySQL.com. The site contains a wealth of information in its online manual, including comments by users detailing real-world solutions to real-world problems. You can find the manual at http://dev.mysql.com/doc/mysql. If there is anything you don t understand (particularly some of the more complex functions), or if you simply want to modify or extend any of the examples in this chapter to suit your own needs, always make the manual your first stop. By the way, have you backed up your database lately

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Sub ExportARange() Dim CSVFile As New CSVFileClass With CSVFile .ExportRange = ActiveWindow.RangeSelection .Export CSVFileName:=ThisWorkbook.Path & \temp.csv End With End Sub

Gossiping in linear geometric radio networks is studied in [37] The authors use the same model as in [36] and design an asymptotically optimal algorithm for gossiping These results are further extended in [38] by considering radio networks in which nodes are randomly situated on a ring A related task is that of communication among neighbors only: every node has to communicate its message to all neighbors In [35], this task is considered for symmetric networks under the additional constraint that all collisions should be avoided The authors prove that the problem of finding a shortest time schedule for this problem is NP-hard, and give a heuristic method to find a suboptimal schedule In [4], a more general problem of communicating many messages to all neighbors is considered Again, any collisions are forbidden.

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