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There are some design issues associated with the use of exception handling in C++ programs Although the support for exception handling is built into the language, not every C++ program should use exception handling Exception handling should be used to communicate program anomalies between parts of the program that are developed independently, because throwing an exception is not as fast as a normal function call For example, a library implementer may decide to communicate program anomalies to users of the library using exceptions If a library function encounters an exceptional situation that it cannot handle locally, it may throw an exception to notify the program using the library In our example, our library defines the iStack class and its member functions The function main() uses the library, and we should assume that the programmer writing main() is not the library implementer The member functions of the class iStack are capable of detecting that a pop() operation is requested on an empty stack or that a push() operation is requested on a full stack, but the library implementer does not know the state of the program that caused the pop() or push() operations to be requested in the first place and cannot write pop() and push() to locally address this situation Because these errors cannot be handled in the member functions, we decided to throw exceptions to notify the program using the library Even though C++ supports exception handling, C++ programs should use other error handling techniques (such as returning an error code) when appropriate There is no clearcut answer to the question, "When should an error become an exception " It is really up to the library implementer to decide what an "exceptional situation" is Exceptions are part of a library's interface, and deciding which exceptions the library throws is an important phase of the library design If the library is intended to be used within programs that cannot afford to crash, then the library must either handle the problem itself, or, if it can't, it must communicate program anomalies to the part of the program that uses the library and give the caller the choice as to which action should be taken when no meaningful action can be taken within the library code itself Deciding what should be handled as an exception is a difficult part of the library design In our iStack example, it is debatable whether the push() member function should throw an exception if the stack is full Another, some people would say better, implementation of push() is to handle this situation locally and grow he stack if it is full After all, the only real limit is the memory available to our program Our decision to throw an exception if the program attempts to push a value on a full stack may have been ill-considered We can reimplement the member function push() to grow the stack if a request is made to push a value on a full stack:.

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As a result of this observation, they suggest having nodes determine locally whether their ebroadcast is likely to be redundant, and eliminate it if it is so (an example is shown in Figure 3.2, where nodes D and E do not rebroadcast the packet, with no loss of coverage). In the same paper, several criteria for deciding whether to rebroadcast or not are investigated, including: 1. Probability-Based. Probabilistically, a node decides whether or not to rebroadcast. This approach blindly eliminates rebroadcasts: It may not eliminate redundant broadcasts, or it may eliminate critical ones. 2. Counter-Based. If a certain number of previous rebroadcasts were heard, an additional one is probably not needed based on the geometric argument they developed. Thus, if the threshold of overhead transmissions is reached, the packet is not rebroadcast. 3. Distance-Based. Assuming that the distance of the node from whom we receive a rebroadcast can be determined, the following criterion can be used to decide whether to eliminate a packet or not. If the distance exceeds a certain threshold, the nonoverlapping area is signi cant and the packet can be rebroadcast; otherwise the packet is not rebroadcast. Create Barcode In Visual Studio .NET Using Barcode generation for .Related: .NET Intelligent Mail Generation , EAN 128 Generating .NET , .NET UPC-A Generating

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Patching virtualized applications is easy to roll out To patch an application, the patch is applied to the virtualized application in the sequencing environment and the delta is calculated between the pre- and post-patched application This delta is sent to clients via the virtual application servers Additional components allow an MSI le to be created that contains information about a virtualized application for of ine usage, which can be used with machines running the SoftGrid client in of ine mode This removes the requirement for SoftGrid client machines to check with the SoftGrid server for applications they should have access to This allows SCCM and other distribution platforms to be used for the distribution of virtualized applications A separate SoftGrid client is also available that is designed for terminal server-type environments, including Citrix The software and hardware requirements of the SoftGrid Virtual Application Server are reasonable A data store is required for information about the application usage, licensing, server con guration, and so on This data store can be hosted in SQL Server 2000 or 2005, and even Microsoft SQL Server Desktop Engine (MSDE) 2000, but the use of MSDE should only be for testing environments This does not need to be on the same server as the application server; however, it should be on the same local fast network A directory service is also required for the SoftGrid suite to function for example, Active Directory (2000 or 2003) or even an NT 40 domain is suf cient, although it would be surprising if you used application virtualization, yet still used an NT 40 domain During installation, an account must be speci ed with read access to the directory service Two global groups are also needed to identify SoftGrid administrators and users who might use the SoftGrid services (You can add the domain users group to this if all users in the domain need access) So, why is this so great Each virtualized application runs in its own protected environment, and one virtualized application cannot see components from another virtualized application This means compatibility and con ict problems between applications disappear because the applications cannot see each other This is both a boon and a curse Virtualized applications can t see each other, but a virtualized application can see applications installed locally on the host computer This means one virtualized application cannot access APIs or facilities from another virtualized application, which is a problem if you have an application whose facilities need to be used by other applications A good example is Microsoft Of ce, whose capabilities are used by many other applications If Of ce was virtualized, the Enterprise Resource Planning (ERP) system would not be able to use it The solution would be to sequence Of ce and the ERP system together, or more likely, install Of ce locally on the omputer and.

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