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Differences in latency, memory access, partial failure, and concurrency make merging of the computational models of local and distributed computing both unwise to attempt and unable to succeed Merging the models by making local computing follow the model of distributed computing would require major changes in implementation languages (or in how those languages are used) and make local computing far more complex than is otherwise necessary Merging the models by attempting to make distributed computing follow the model of local computing requires ignoring the different failure modes and basic indeterminacy inherent in distributed computing, leading to systems that are unreliable and incapable of scaling beyond small groups of machines that are geographically co located and centrally administered A better approach is to accept that there are irreconcilable differences between local and distributed computing, and to be conscious of those differences at all stages of the design and implementation of distributed applications Rather than trying to merge local and remote objects, engineers need to be constantly reminded of the differences between the two, and know when it is appropriate to use each kind of object Accepting the fundamental difference between local and remote objects does not mean that either sort of object will require its interface to be defined differently An interface definition language such as [B] IDL can still be used to specify the set of interfaces that define objects However, an additional part of the definition of a class of objects will be the specification of whether those objects are meant to be used locally or remotely This decision will need to consider what the anticipated message frequency is for the object, and whether clients of the object can accept the indeterminacy implied by remote access The decision will be reflected in the interface to the object indirectly, in that the interface for objects that are meant to be accessed remotely will contain operations that allow reliability in the face of partial failure It is entirely possible that a given object will often need to be accessed by some objects in ways that cannot allow indeterminacy, and by other objects relatively rarely and in a way that does allow indeterminacy Such cases should be split into two objects (which might share an implementation) with one having an interface that is best for local access and the other having an interface that is best for remote access A compiler for the interface definition language sed to specify classes of objects will need to alter its output based on whether the class definition being compiled is for a class to be used locally or a class being used remotely For interfaces meant for distributed objects, the code produced might be very much like that generated by RPC stub compilers today Code for a local interface, however, could be much simpler, probably requiring little more than a class definition in the target language While writing code, engineers will have to know whether they are sending messages to local or remote objects, and access those objects differently While this might seem to add to the programming difficulty, it will in fact aid the programmer by providing a framework under which he or she can learn what to expect from the different kinds of calls To program completely in the local environment, according to this model, will not require any changes from the programmer's point of view The discipline of defining classes of objects using an interface definition language will insure the desired separation of interface from implementation, but the actual process of implementing an interface will be no different than what is done today in an object oriented language Programming a distributed application will require the use of different techniques than those used for non distributed applications Programming a distributed application will require thinking about the problem in a different way than before it was thought about when the solution was a non distributed application But that is only to be expected Distributed objects are different from local objects, and A8 Taking the Difference Seriously 355.

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This would include anything from sending alerts for power or thermal sensor indications to logging software errors or other types of exceptions. Alerts are delivered via asynchronous messages or stored locally as information that is collected at a later time. Fault management is typically handled by the firmware and software of the managed system and by systems, network, and enterprise management software used by the organization, including such products as IBM Director, HP Insight Manager, and Dell Open Manage at the systems level, and IBM Tivoli, HP OpenView, and CA Unicenter at the enterprise level. As mentioned previously, fault monitoring and management is a huge strength for blades. Blade-specific tools are available from the blade vendors, with full remote capabilities to handle everything short of physically swapping out a failing blade. (In addition, blade swapping is so simple, it can be done by a nontechnical person; it involves simply looking for the light indicators on the failing blade, popping out that blade, and inserting a new one. All other tasks to bring that blade online can be done remotely through the management software.) More details on this, as well as a couple of screen images, are provided later in this chapter. office word use microsoft word barcode code 128 . This is accomplished by monitoring application runtimes, workload throughput, and response times to make changes to onfigurations in order to provide the best bang for the buck. A wide variety of tools is available for server performance management and storage resource management (SRM). Again, the tools used here are not blade-specific.Related: EAN-13 Generator .NET , EAN 128 Generation .NET , .NET UPC-A Generation

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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 hich 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 the 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:.

The following static and dynamic (real-time) information streams provided by various tools can be identi ed: (a) static document record and biometric data from local and global databases and (b) online biometric data btained from the surveillance facilities and conversation with an individual at the desk, including behavioral biometric data such as voice, facial expressions, and signature Biometrics are usually classi ed using physiological and behavioral categories In our design concept, we also distinguish contact and noncontact biometrics This division is made with respect to the main functions of the PASS (early warning and service based on the screening discipline) Early warning information includes various parameters that can be obtained by indirect techniques (disabilities, drug and alcohol intoxication, etc).

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