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bodies, but by industry forums.) Note that this discussion focuses on the service APIs, although in some cases, like JAIN, protocol APIs have also been de ned.

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The Device Capabilities API, devicecapabilities.h, provides access to information about the capabilities of an S60 device, such as whether it provides oating-point support, its CPU architecture and clock speed, and the amount of RAM available. The Device Status API, devicestatus.h, provides interfaces to retrieve the current status of various hardware features, including speci c information about the battery, network signal, connected accessories (such as headsets), telephony, alarms, and current pro le. It can also be used to receive noti cation of changes to the device status, through a set of callback interfaces for the following: changes to the battery level connection or disconnection of the main charger changes to the network signal changes to the GSM cell ID or location area code of the phone

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10.4 A model of TCP We have already mentioned that the quantity j .t/ that is de ned in (10.10) can be viewed as a rate of congestion indication signals. These signals are generated at link j and passed back to user r, who then adjusts xr .t/ according to (10.9). That adjustment involves a linear increase, proportional to wr , and so is greater when he has a greater willingness to pay. It also involves a multiplicative decrease that depends on the rate at which congestion indication signals are received. These mechanisms make one think of Jacobson s TCP algorithm, which operates in the present Internet and which we described in Section 3.3.7. It also has several differences, which we now discuss. Recall that a ow through the Internet receives congestion indication signals as dropped or marked packets. These occur at a rate roughly proportional to the size of the ow. The response of Jacobson s congestion avoidance algorithm to a congestion indication signal is to halve the size of the ow. Thus there are two multiplicative effects: both the number of congestion indication signals received and the response to each signal scale with the size of the ow. A further important feature of Jacobson s algorithm is that it is self-clocking: the sender uses an acknowledgment from the receiver to prompt a step forward and this produces an important dependence on the round trip time T of the connection. In more detail, TCP maintains a window of transmitted but not yet acknowledged packets; the rate x and

Contrary to the marking optimization problem of deterministic marked graphs, there is no analytical formula to compute the average cycle time. As in the stochastic case, an iterative method using simulation to obtain the cycle time has been developed [SAU03]. The principle is a little bit different. It starts with a feasible marking and, at each iteration, removes one token from a place as long as the

(5.10)

(J M Campbell, 2003; J M Campbell et al, 2008; Iovannone, Dunlap, Huber, & Kincaid, 2003; Odom et al, 2003; Rao, Beidel, & Murray, 2008; Rogers & Vismara, 2008), a growing body of research provides information on the extent to which there is evidence to support various practices At the same time, generally there is a lack of suf cient evidence for any of the treatments to meet criteria for probably ef cacious or exemplary based on criteria for empirically supported treatments (J M Campbell et al, 2008) A number of approaches and programs, however, have suf cient studies to be considered promising practices or possibly ef cacious (Rogers & Vismara, 2008) Most often, the criterion not met is that of random assignment to condition as typically accomplished with randomized clinical trials.

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