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As we noted previously, distributed notification differs from local notification (such as the notification used in user interface programming) in a number of ways In particular, a distributed notification may be delayed, dropped, or otherwise fail between the object in which the event occurred and the object that is the ultimate recipient of the notification of that event Additionally, a distributed event notification may require handling by a number of third party objects between the object that is interested in the notification and the object that generates the notification These third party objects need o be able to handle arbitrary events, and so from the point of view of the type system, all of the events must be delivered in the same fashion Although this model differs from the event model used for user interface tools such as the AWT or Java Foundation Classes (JFC), such a difference in model is to be expected The event model for such user interface toolkits was never meant to allow the components that communicate using these local event notifications to be distributed across virtual or physical machines; indeed, such systems assume that the event delivery will be fast, reliable, and not open to the kinds of partial failures or delays that are common in the distributed case In between the requirements of a local event model and the distributed event model presented here is the event model used by software components to communicate changes in state The delegation event model, which is the event model for JavaBeans components, written in the Java programming language, is built as an extension of the event model used for AWT and JFC This is completely appropriate, as most JavaBeans components will be located in a single address space and can assume that the communication of events between components will meet the reliability and promptness requirements of that model However, it is also possible that JavaBeans components will be distributed across virtual, and even physical, machines The assumption that the event propagation will be either fast or reliable can lead to subtle program errors that will not be found until the components are deployed (perhaps on a slow or unreliable network) In such case, an event and notification model such as that found in this specification is more appropriate One approach would be to add a second event model to the JavaBeans component specification that dealt only with distributed events While this would have the advantage of exporting the difference between local and remote components to the component builder, it would also complicate the JavaBeans component model unnecessarily We will show how the current distributed event model can be fit into the existing Java platform's event model While the mapping is not perfect (nor can it be, since there are essential differences between the two models), it will allow the current tools used to assemble JavaBeans components to be used when those components are distributed EV41 Differences with the JavaBeans Component Event Model The JavaBeans component event model is derived from the event model used in the AWT in the Java platform The model is characterized by: Propagation of event notifications from sources to listeners by Java technology method invocations on the target listener objects Identification of the kind of event notification by using a different method in the listener being called for each kind of event. crystal reports barcode IDAutomation Native Barcode Generator for Crystal Reports - SAP Q ... 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Scan Code 128 Code Set A In Java Using Barcode Control SDK for Java Control to generate, create, read, scan barcode image in Java .Related: Generate Code 128 .NET , C# Code 39 Generating , Word Interleaved 2 of 5 Generation used by the active processor, but the memory access must be performed without the involvement of the passive processor For example, Cray T3E uses special registers for remote memory access (Culler and Singh [48]) Third-Party In third-party interprocessor communication, the data transfer is performed by dedicated communication devices, as illustrated in Figure 81(c) The communication devices must be able to directly access the local and the remote memory without involvement of the processor (ie, it must possess some kind of a direct memory access (DMA) engine) The processor only informs the communication device of the memory area it wants transferred and the rest of the communication is performed by the device Thus, the communication overhead on the processor takes approximately constant time, independent of the amount of data to be transferred All devices together comprise the communication subsystem of the parallel computer, which autonomously handles all interprocessor communication Examples for machines that possess such subsystems are the Meiko CS-2 (Alexandrov et al [9]) or the IBM SP-2 [96] The IBM Blue Gene/L (van der Steen and Dongarra [193]) has two identical PowerPC processors per module, but it can be con gured to employ one of them as either a communication processor or a normal processor for computation In the former case, one processor acts like a third-party communication device for the other processor It is important to realize that a processor engaged in communication cannot continue with computation The charts of Figure 81 illustrate this by placing the involvements ( send/receive, get/put ) onto the time lines of the processors On the contrary, in third-party communication it is the device, not the processor, that is occupied during the communication process Task scheduling, under both the classic model and the contention model, assumes the third-party type of interprocessor communication (Property 4 of De nitions 43 and 710) Consequently, the produced schedules overlap computation with communication; that is, a processor executes tasks while data is entering and leaving However, this overlap can only exist on systems with a dedicated communication subsystem On other systems, those that perform one- or two-sided communication, the produced schedules are unrealistic and thereby inappropriate The experiments referenced in Section 754 demonstrated the negative consequences on the accuracy and the execution times of the schedules Among the communication types an order can be established regarding the degree of the processor involvement: two-sided, one-sided, and third-party While the type f communication is restricted by the hardware capabilities of the target system, the software layer employed for interprocessor communication can increase the degree of involvement For example, in a shared-memory system, communication can be one sided, but the software layer might use a common buffer, which turns it into twosided communication (see two-sided above) This effect is not uncommon, as shown by the analysis of MPI implementations on common parallel systems by White and Bova [199] It becomes important, since MPI is the standard for message passing and message passing is the dominant programming paradigm for parallel systems Furthermore, almost all of today s parallel applications are written using a higher level. crystal reports barcode font free Crystal Reports Barcode Font Encoder UFL by IDAutomation | SAP ... 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