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management agent; (3) a network management protocol; and (4) management information bases (MIBs). The network management station is the workstation to and from which SNMP messages are sent and on which the results are analysed and presented to the operator. The network management agent is based on the network device. It responds to requests from the network management station and sends unsolicited noti cations of network alert events. The network management protocol is the grammar used by the network management station and the network management agent for their conversations. The MIB is a dictionary, which describes the objects being given values, the type and range of the values available to each object and an identi er for each of those objects. These objects are formed into a hierarchy of objects. SNMP provides two operations: GET and SET. GET is used to retrieve information from a network element. SET is used to overwrite a value of the con guration of a network element. The ability to GET and SET values on network devices provides the operator with the ability to both monitor and con gure devices remotely using SNMP. The combination of polling (GET) and traps/informs provides a comprehensive mechanism for monitoring all manner of network devices.

This wait time is the sum of times tr spent by all requests arrived before the one currently waiting, where tr denotes the time from the arrival of the request in the server interceptor until the result of its processing is sent back to the client In the FACORBA platform, this wait time, an inherent feature of the algorithm, is even larger because individual tr s are increased due to the execution of the consensus primitive (see Figure 187 for the values of the consensus time); in the case of active replication, the average overhead values are generally large Since the larger overheads appear only in case of method calls that themselves made outgoing calls, it was deduced that it was because of the gateway s duplicate suppression mechanism Method 3 did not call other methods, and thus experienced a lower overhead..

^ and its estimate Y2 computed on all the cases in P00 and P01. Then PSPP can be applied ^ as before to impute missing values of Y1, by the regression of Y1 on X and the spline of Y1 , estimated using cases in P00 and P01. The generalization of PSPP for imputing missing values of Y2 is less clear. A natural approach is to impute missing values of Y2 in P01 and ^ P11 by a regression of Y2 on X, Y1 and a spline of Y2 , where missing values of Y1 in P11 are replaced by estimates from Equation (18.8). This method does not yield a double robustness (DR) estimate of the mean of Y2, since the estimates of the imputed values of Y1 in P11 need to be based on a correct prediction model, and the propensity score for Y2

The number n of individuals observed tends to in nity. The number of genetic markers Mn tends to in nity with n, their locations being denoted by ti,n ; i = 1, . . . , Mn . The size a of the gene effect is small, satisfying the contiguity condition a = n 1/2 , where is a constant. The observation is { Ykn , Gk (t1,n ), . . . , Gk (tMn ,n ) , k = 1, . . . , n}.

Location-Based Services (LBS) provide personalized services to the subscriber based on their current position. These services are usually based on cellular telephone networks. There are various methods used for mobile telephone location, including of course GPS. A discussion of various methods of positioning mobile telephones is given by Mountain and Raper [2001], and Pietil and Williams [2002]. The potential applications for LBS technologies are numerous and, according to Southern [2002], include: navigation routing a user between two points, and tracking them as they follow the route; points of interest locating restaurants, pubs, cinemas and other entertainment venues in the vicinity of the user; advertising sending details of special offers which the user may be interested in when they are in the neighborhood of a particular retail outlet; real-time information traf c and weather noti cation for the user s current and predicted location; workforce management ensuring that the most ef cient use is made of a number of teams of service engineers by tracking their current location and incorporating the results into a logistics application to minimize the distance travelled between call-outs;

Also Known As: The God Object, Big Ball of Mud Most Frequent Scale: System Refactorings: Interface Partitioning Refactored Solution Type: Software Root Causes: Ignorance, haste Unbalanced Forces: Complexity and resources Anecdotal Evidence: Ouch! Some other developer just overwrote all my changes to the service!

COMPLETE EXAMPLE CONFIGURATION FILES (IOS AND JUNOS SOFTWARE)

Middelware is software that can adapt the outputs of one system to the inputs of another, so that they can communicate. What middleware needs is a set of mapping rules that tells it to take the information from one field in the MT message and move it to the correct corresponding element in the ISO 20022 message. In the first example, the information in field :52A: is moved to the BIC element in the component called DebtorAgent . The mapping is straightforward as this field in MT has only one equivalent element in the ISO 20022 message.