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823 Enhancement to SCUDIF Control Section 6212 describes the CAMEL interaction with service change and UDI/RDI fallback (SCUDIF) When a call is established with dual bearer capability, the MSC/gsmSSF reports the preferred service and the less preferred service The requested services for a SCUDIF call may be speech and video When the call is answered, the call may be answered, eg as a video call The active service at answer is indicated to the gsmSCF in the answer noti cation The CAMEL service now treats the active phase call as a video call However, should a service change take place during the active phase of the call, then this will remain unnoticed for the CAMEL service To overcome this dilemma, CAMEL phase 4 in 3GPP Rel-6 allows for service change noti cations DP O Service Change and DP T Service Change are introduced in the O-BCSM and T-BCSM, respectively The enhancement to the O-BCSM is given in Figure 87 The support of the Service Change DP by the MSC/gsmSSF is indicated in CAP IDP, in the offered CAMEL 4 functionalities parameter The service change, re ecting a change between tele service 11 (speech) and bearer service 30 (64 kb/s data, used for video telephony), may be reported in the active phase of the call The CAMEL service may arm this DP as EDP-N only When the service change event is reported, the gsmSSF also generates a charging report This enables the CAMEL service to adapt the call charge onwards, eg when the call changes from speech call to video call The service change may be initiated by the calling party or by the called party The call party for which the service change is reported is determined, however, by the BCSM in which the service change is detected (Figure 88) For the MO call CAMEL service, a service change is always reported on leg 1 The charging report resulting from the service change is also reported on leg 1 Hence, in order to adapt the call charge to the service in use (speech vs video telephony), the CAMEL service will apply charging to leg 1, not to leg 2 For the T-CSI service and VT-CSI service, a service change, and the accompanying charging report, is always eported on leg 2 The call party for the service change is reported (ie leg 1 or leg 2) does not have to be the call party that initiated the service change In-call service change requires the use of bearer independent call control (BICC) instead of ISUP Details of the DTAP and BICC signalling related to service change are speci ed in 3GPP TS 23172 [89] 824 Reporting User-to-user Information User-to-user signalling (UUS) allows transparent transfer of user-speci c information (UUI) between calling and called party This user-speci c information is used by calling and called party only and does not affect call routing or handling UUI may be included in regular ISUP messages for call.

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The value-iteration method is often the most preferred method to compute a (nearly) average cost optimal policy In each iteration of the method the lower and upper bounds indicate how much the average cost of the current policy deviates from the minimal average cost The computational burden of the value-iteration algorithm depends not only on the number of states, but also on the density of the non-zero transition probabilities pij (a) By the very nature of the value-iteration algorithm, it is computationally burdensome to have many non-zero pij (a) In applications with exponentially distributed times between the decision epochs, the computational effort of the value-iteration algorithm can often be considerably reduced by including so-called ctitious decision epochs The state of the system is left unchanged at the ctitious decision epochs The inclusion of ctitious decision epochs does not change the Markovian nature of the decision process, since the times between state transitions are exponentially distributed and thus have the memoryless property The trick of ctitious decision epochs reduces not only the computational effort, but also simpli es the formulation of the value-iteration algorithm The inclusion f ctitious decision epochs has as a consequence that the state space must be enlarged with an indicator variable to distinguish between the ctitious decision epochs and the real decision epochs However, the greater simplicity in formulation and the reduction in computing times outweigh the enlarged state space Example 731 Optimal allocation of servers to competing customers In communication networks an important problem is the allocation of servers to competing customer classes Suppose messages of the types 1 and 2 arrive at a communication system according to independent Poisson processes with respective rates 1 and 2 The communication system has c identical transmission channels for handling the messages, where each channel can handle only one message at a time The system has no buffer for storing temporarily messages that nd all channels occupied upon arrival Such messages have to be rejected anyway However, a newly arriving message may also be rejected when there is a free channel The goal is to nd a control rule that minimizes the average rejection rate or, equivalently, maximizes the average throughput of accepted messages In Example 542 the best control rule was determined within the subclass of L-policies Markov decision theory enables us to compute an overall optimal policy To do so, we.

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The rules of the JavaBean specification stipulate naming patterns for declaring properties of JavaBeans A naming pattern defines a standard naming convention A property of an object is normally defined as a field in the object, which is usually not directly accessible by clients (see Example 31) A JavaBean should adhere to the following naming patterns when specifying its properties: The properties are assumed to be private, and their names start with a lowercase letter Example 31 shows that the JavaBean class Light has three properties In order to retrieve and change values of its properties, a JavaBean provides getter and setter methods for them Example 31 shows a JavaBean with three getter and three setter methods for its properties For a property, the setter method starts with the prefix set The rest of the method name is assumed to be a property name, where the first letter of the roperty name has been converted to uppercase In Example 31, the value of the property noOfWatts can be changed by the setter method setNoOfWatts() Setter methods are public and void, having a parameter of the same type as that of the property For a property, the getter method starts with the prefix get The rest of the method name is assumed to be a property name, where the first letter of the property name has been converted to uppercase In Example 31, the value of the property noOfWatts can be retrieved by the getter method getNoOfWatts() For a boolean property, the getter method can start with the prefix get or is In Example 31, the value of the boolean property indicator can be retrieved by the getter method isIndicator() Getter methods are no-argument public methods that return a value of the same type as the parameter of the corresponding setter method.

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