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solutes which interact both with the aquifer materials and with each other; nonaqueous phase liquids (NAPLs) may be present, as well as pockets of gas, so that the system is an amalgam of multiple, interacting phases The only mathematical techniques powerful enough to accommodate such complexities are numerical solutions In groundwater modeling, a numerical solution can be de ned as an approximate solution to a given version of the groundwater ow equation, which is obtained by replacing those terms in the equation that contain derivatives (ie differential expressions such as h/ x) by simple algebraic expressions These algebraic expressions are calculated on and between speci c (but arbitrarily selected) points in the overall simulation domain (termed nodes), which together form a model grid The evaluation of these algebraic expressions is usually achieved using successive approximations, ie repetitive calculations for all of the nodes in a given grid.

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patterns seen at the local user(s) and/or at the Web server Padmanabhan and Mogul [77] proposed a prediction scheme where the server makes predictions and piggybacks the prediction (relative to a client request) in the response to the client The client then makes prefetch requests based on the prediction and its local condition such as whether the predicted le is already downloaded Simulation results showed a substantial reduction to the access latency, at the cost of a similar increase in the amount of network traf c Jiang et al [78] proposed a similar prediction algorithm, which runs instead at the client (or proxy) side Moreover, the client dynamically adjusts the prefetch threshold according to the current system load, bandwidth availability, and other variables Cohen et al.

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The automobile market is one of the two major domains that are considered as being the future of GNSS revenues, either through receiver sales or through speci c road tolling applications, for example. The current market offers a wide range of products including sophisticated maps, two- or three-dimensional views,29 complex routing algorithms, turn-by-turn navigation, both with the possibility to specify the means of transport, including traf c information, and so on. Well-known manufacturers are TomTom, Magellan, Garmin, and so on. Figure 11.11 gives the picture of some commercial products. Some products are also designed for speci c applications, like the speed limit controller that tells the driver when he drives over the maximum allowed speed, and also can warn of changing speeds zones. In such a case, to lower the cost,

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Each computational sweep of the model grid is termed an iteration, and a number of iterations are typically calculated until the changes in values between successive iterations become negligible, at which point the solution is said to have converged A number of different approaches can be taken to implement numerical solutions Details of the various approaches are well beyond the scope of this book, and only a brief introduction is given below (Readers requiring further details are referred to Huyakorn and Pinder (1983) and Anderson and Woessner (1992)) The most widely used groundwater modeling codes obtain numerical solutions using nite difference methods Figure 103 shows a typical nite difference grid superimposed upon a base map of an area underlain by an aquifer Most nite difference models perform their calculations for the central points in each of the grid squares, and are therefore called block-centred nite differences.

[79] combined server-driven and client-driven prediction by employing server volumes that are collections of web objects that tend to be referenced together and proxy lters that tailor the piggybacked server volumes to suit the proxy s need Multicast push was proposed as an alternative to caching for distributing highly popular Webpages [59,60,75,80] In this scheme, a Web client receives Web objects from a multicast distribution initiated by the Web server However, IP multicast is intrinsically synchronous while the Web access pattern is fundamentally asynchronous To bridge their difference, two multicast push schemes were proposed The asynchronous multicast push (AMP) [75,80] scheme, requests for the same document are deferred until the next multicast push event At this periodically scheduled event, the document is multicast to all the Web clients that have requested it.

In this chapter, we review the main characteristics of applications of pervasive computing in Section 27.2, discuss the architecture of pervasive computing software in Section 27.3, and review key open protocols in Section 27.4.

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