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The Add Connection dialog is new in Visual Studio 2005, but it's very similar to the one that existed in previous versions The items presented in this dialog change based on the provider selected Figure 56 shows the settings for the managed SQL Server provider To configure a SQL Server connection, you specify a server namethis can be a SQL Server instance name on the network or an IP address If you are referring to the local machine's default instance of SQL Server, you can use one of three shorthand addresses: localhost, (local), or just the dot () character You also provide authentication information and specify the database name This configures the connection string that is used to connect to the database If you had selected a SQL Server database file as the data source in Figure 55, the dialog would be different and would only let you specify a path to the database file and authentication information This is the way to specify a data connection for a SQL Server 2005 xpress Edition database. 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The program has a simple and convenient interface . page, barcodes adaptation for the current printer resolution, connection .Related: .NET EAN 128 Generator , Print Intelligent Mail .NET , PDF417 Generating ASP.NET Linear clustering (Section 532) does not require any modi cation whatsoever There are no decisions taken in the linear clustering Algorithm 16 based on the schedule length The algorithm only analyzes properties of the task graph; hence, the underlying scheduling model is irrelevant Single edge clustering (Section 533) can be applied under the contention model with an approximated topology graph (see earlier discussion) The only part that requires some attention is the line Schedule Ci using heuristic in Algorithm 17, that is, the construction of the implicit schedule Essentially, this is scheduling with a given processor allocation a list scheduling that was already covered in Section 751 List scheduling as clustering (Section 534), as the name implies, is based on list scheduling, whose utilization under the contention model is analyzed in Section 751 It an be applied with an approximated topology graph as discussed earlier. a high speed printer that prints over 55 pages per minute or a system (including all hardware, printer and software . Linear ASP Barcode For IIS Order The .Related: Word EAN-8 Generating , Generate UPC-E Word , Java Data Matrix Generation set of task graphs is scheduled by different heuristics under the classic model and the contention model on various target systems The employed target systems cover a wide spectrum of parallel architectures: (1) a cluster of 16 PCs (Telford [184]); (2) an 8-processor shared-memory SMP system, Sun Enterprise 3500 (Culler and Singh [48]); and (3) a 344-processor massively parallel system, Cray T3E-900 (Booth et al [26]) These systems possess different network topologies and are modeled with corresponding topology graphs In the next step, code is generated that corresponds to the task graphs and their schedules, using the C language and MPI (message passing interface [138]), the standard for message passing on parallel systems This code is then executed on the real parallel systems and the accuracy, the speedup, and the ef ciency of a schedule and its model are evaluated Let pt(S) be the execution time the parallel time of the code generated for schedule S and task graph G = (V, E, w, c) on a target system The accuracy of S is the ratio of the real execution time on the parallel system to the schedule length (ie, the estimated execution time) acc(S) = pt(S)/sl(S) The speedup of S is the ratio of sequential time to execution time sup(S) = seq(G)/pt(S) Finally, the ef ciency of S is the ratio of speedup to processor number eff (S) = sup(S)/|P| = seq(G)/( pt(S) |P|) The experimental evaluation exposed that scheduling under the classic model results in very inaccurate and inef cient schedules for real parallel systems Contention aware scheduling signi cantly improves both the accuracy and the ef ciency of the produced schedules Still, the results are improvable It is observed that results get worse under both models as the amount of communication in the task graph increases In terms of the CCR (De nition 423), the classic model is extremely inaccurate for medium (CCR = 1) and high (CCR = 10) communications Note that the ef ciency improvements from the employment of the contention model are superior to the typical difference between various scheduling algorithms under the classic model (Ahmad et al [6], Khan et al [103], Kwok and Ahmad [111]) Nonetheless, contention aware scheduling, even though signi cantly more accurate and ef cient than scheduling under the classic model, does not produce results that really satisfy As analyzed by Sinnen and Sousa [171, 176, 178], this is in part due to inappropriate topology graphs employed in the experiments, which do not exploit the full potential of the topology graph of De nition 73 It is argued that especially the switch vertex and the hyperedge are important instruments of the topology graph which should be used for an accurate re ection of communication networks Another possible explanation for the still improvable results is that communication contention is not the only aspect that is inaccurately re ected in the classic model Even for the contention model, a relation between the increase of communication (CCR) and the degradation of accuracy can be observed in the presented experimental results This indicates another de ciency of the scheduling models regarding communication Like the classic model (De nition 43), the contention model (De nition 710) supposes a dedicated communication subsystem to exist in the target system (Property 4 With the assumed subsystem, computation can overlap with communication, because. 1 Subscribe to a publication located at the server and synchronize the data to the device 2 Make updates to that data as it resides on the device 3 Synchronize with the server to submit the changes made locally back to the server database All mobile application designers hope that step 3 succeeds so that modifications are applied at the server without errors and that those modifications do not overwrite any modifications made by other users Many mobile application designers end up wondering why step 3 failed he purpose of this subsection is to explain why publication design decisions can cause synchronization failures and to provide a blueprint on how to avoid those failures. 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