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Synchronous communication has much stricter requirements for efficient memory management than does asynchronous communication This has to do with the difference in processing between the two Synchronous clients, by definition, must wait for an answer Good caching schemes can translate into shorter average latencies; bad caching schemes (or none at all) obviously can result in the opposite Shorter latencies mean better request processing performance and thus better throughput Although caching can also improve the efficiency of asynchonrous communication models, it is not always a necessary feature For example, many asynchronous solutions involve large "pushes" of data (ie, batch loads) that with or without caching take hours (not milliseconds) to complete While businesses generally strive to build efficient systems, waiting 3 hours for the consumption of data instead of the 2 that a caching solution might yield may not be a major problem The point at which a delay becomes unacceptable depends on the nature of the application Some asynchronous applications may in fact require good consumer caching Consider a stock market information system that works using a broadcast paradigm Suppose that a client receives stock quotes from an information producer and must flash the ticker symbols on the user screen along with some other data (such as the name of the company) Caching this "other data" is going to be very important in this scenario or else the lag time between when the message is produced and when it's consumed and processed will be too great to be useful (ie, the report of a price drop or rise will arrive too late for the user to do anything about it) In such cases, data is changing fast and client/listener processing needs to be as quick as possible In short, caching and data locality are usually more critical for synchronous systems because the client can't make progress until he receives a reply However, they can also be critical for some highly dynamic asynchronous scenarios One thing is for sure: Good caching improves the performance of both approaches as long as the complexity in implementing it isn't unreasonable Data Marshalling Here's a case where synchronous systems are often more efficient, for two reasons First, a messaging intermediary represents yet another layer in the communication between two parties, which potentially means. barcode in crystal report c# Crystal Report: Font problem - Experts Exchange I have a report made with crystal report wich contains a field with a barcode font. When I print the report from a Web Application on my computer it prints correctly. how to print barcode in crystal report using vb net Frequently Asked Questions on using Barcode Fonts in Crystal ... Mar 18, 2011 · We do not recommend to use Crystal Reports Viewer to view the report from a different machine. ... First, Crystal Reports do not embed fonts. You must have the barcode fonts installed on every client machine in order to view the barcodes. 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In addition, the actual application data may need to be converted to another format This is very common in messaging systems, many of which support transformation rule building so that deployers can easily customize just how data is to be translated between producer and consumer Consider the transfer of records that consist of several codes that indicate employee history information These codes may mean something to the producer but mean nothing to the consumer, who has his own codes The producer's codes may need to be translated to make sense in the consumer's application or data model In contrast, synchronous systems usually have fewer data transformations and don't have to worry about this intermediate hop in the request-processing network flow Still, keep in mind that the client is waiting in the synchronous case, so the lack of efficient data marshalling has a greater impact here than it does in the asynchronous case 7:26 HLR MAP PRN [pre-paging supported] PRN-Res[AbsentSubscriber] CAP MAP SRI [pre-paging supported] SRI-Res[FTN(Not Reachable)] On the Internet, consumers query providers for information Unlike in other media, information is not distributed at the whim of the provider Instead, consumers request information via queries, which consist of a series of interactions between the client and server In addition to querying, consumer requests can contain submitted information that must be processed This submission mechanism can be explicit or implicit Explicit submission is the user's deliberate transmission of information to the provider, such as a completed HTML form In contrast, implicit submission is the provision of data through the user's Web session Cookies are a good example of this, in that they consist of data that is chosen by either the provider (eg, for page tracking) or the consumer (eg, for personalization) Regardless of how the information is submitted, the application's processing must often be based on this information Thus, the Internet is not simply a library where clients request items that exist on shelves; rather, requests involve calculations or processing, sometimes leading to a unique result Furthermore, the interactive nature of the Web means that a request cannot be fulfilled in advance instead, the application must respond at the time the request is made, even though substantial processing may be associated with that request and VD dCD t J t dt A 7:27 barcode in crystal report Barcode Font Encoder Formulas for Crystal Reports by ... 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