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If our monitoring application is multithreaded, it is capable of sending many polling requests in a short time It is also likely that multiple instances of the monitoring application are being run at the same time The combined polling requests from all monitoring instances may cause server saturation depending on how the server is implemented For example, if the server handles each request in a separate thread, an excessive amount of CPU and memory resources may be consumed Furthermore, the throughput of the CCS server might be limited by the bandwidth of the ICP device control network that it ses to communicate with the thermometers and thermostats Even if our server has no problem handling all the polling requests sent to it, overall system performance may still suffer because of heavy network utilization caused by polling If our monitoring applications flood the network with polling requests, the throughput and response times of all applications using the network suffer due to increased traffic If network congestion becomes extreme, the entire CCS system could grind to a halt Presumably, our monitoring application is multithreaded to allow it to perform other useful work, such as updating its graphical interface, while it waits for polling results Unfortunately, multithreading makes our application more complex This is especially true given that the multithreading is required directly in the application code so that it can perform polling requests in separate threads rather than being hidden in the underlying ORB or in the graphical interface libraries By employing distributed callbacks, we can solve some of the problems caused by polling Our monitoring application can register an object reference that the Thermometer and Thermostat objects it is interested in can use to call it back When the object detects the desired temperature or settings, it invokes the callback object reference to inform the monitor Using distributed callbacks in this manner solves the problems with our original polling solutions It solves the server and network saturation problems by avoiding the need for polling It also takes care of the multithreading application complexity problem because the monitor no longer needs to be multithreaded in order to obtain reasonable performance 2032 Problems with Callbacks Although they solve our problems with polling, distributed callbacks themselves suffer from a number of serious problems These have to do with callback object reference registration and with notification scalability.

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O'Reilly Network Safari Bookshelf Jini Specifications, The, Second Edition Such a device would be able to make full use of Jini technology and Java technology, uploading code that is used to communicate with the device and downloading code that might be needed for the service provided by the device Such a device can make se of the native RMI protocol for communication over the network, and has a loose tie between the communication protocol and the particular software protocol governing the running of the device itself On this approach, the device becomes a specialized network appliance offering a particular service (or set of services) via an embedded Java platform In effect, this approach uses a hardware implementation for the local implementation of an RMI server, isolating the hardware behind two levels of indirection The first is that provided by the local proxy code that is uploaded into the Jini lookup service and then downloaded into the client of the service Additionally, the local JVM and code written in the Java programming language resident on the service device allow mediation between the client proxy and the hardware itself A device that took this approach could easily have multiple services implemented on the device in a way that was mediated by the JVM on the device Further, such a device could be evolved with no impact on the client or the network protocol used between the client and the service, since any change in the hardware would be seen only by the JVM and any server side code that talked directly to the hardware While simple and flexible, this approach does add some cost to the device In particular, the device would need to have a microprocessor capable of running the JVM, some memory in which to create and store classes, and some nonvolatile store (either disk or NVRAM) from which to load the JVM and Java class files All of these are in addition to the hardware needed to implement the a Jini technology enabled service that the device provides This extra hardware will increase the cost of producing the device Meeting these requirements does not call for a hosted version of the JVM or a full version of the Java platform running on the device The JVM could run on any form of microkernel or directly on the hardware of the device Further, there are large parts of the Java platform that would not be required for the minimal device such things as the graphics and user interface classes, which form a significant chunk of the current release, would not be needed Other parts of that release could also be dropped, allowing a stripped down Java platform to suffice for Jini technology enabled devices It would be worthwhile to determine the exact definition of such a subset of the Java platform and size that component; it would be something close to the definition of embedded Java technology with the additional classes needed to support RMI What is important for this kind of approach is for the device to be able to download any code written in the Java programming language (although whether that code is run could depend on the local security manager), utilize the RMI communication system, and handle the requirements of a general virtual machine By presenting a standard JVM, the device gets full membership in a federation of Jini technology enabled services and/or devices and complete flexibility in the ways in which the machine communicates between the proxy it provides other members of the federation and the device itself DA22 Devices Using Specialized Virtual Machines We can lower the barrier to entry for a device manufacturer if that manufacturer is willing to give up some of the flexibility provided by the Jini architecture This can be done by allowing the device to become part of a Jini system of services and/or devices using Jini technology with a specialized virtual machine that is tuned to allow only those operations needed by the Jini discovery protocol and Jini lookup service To do this, the device manufacturer would need to implement the interfaces to the Jini discovery and Jini lookup service in the device itself, include specialized knowledge of the kind of leases that are handed out by the Jini lookup service and be able to renew those leases directly, and have sufficient functionality to download and use the stubs for these services This is a particular set of functionalities that is considerably smaller than that required by the whole of the JVM, and should be possible to implement in much less code For example, such a JVM would not need to contain a security manager, a code verifier, or a number of the other components that are required for a full JVM DA2 Basic Device Architecture Examples 316.

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// Change the location of first device in the list CCS::AssetType anum = list[0]->asset_num(); cout < "Changing location of device " < anum < "" < endl; list[0]->location(" Earth"); // Check that the location was updated cout < "New details for device " < anum < " are quot; < endl; cout < list[0] < endl;. Draw EAN128 In .NET Framework Using Barcode drawer for .Related: QR Code Generation .NET WinForms , .NET WinForms ITF-14 Generator , C# UPC-E Generation

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static Controller_impl * m_ctrl; // My controller protected: PortableServer::Current_var m_current; // Helper function that extracts asset number from // the target ObjectId CCS::AssetType get_target_asset_number() throw(CORBA::SystemException); // Helper functions that read data from the device static CCS ModelType get_model(CCS::AssetType anum); static CCS::TempType get_temp(CCS::AssetType anum); static CCS::LocType get_loc(CCS::AssetType anum); static void set_loc(CCS::AssetType anum, const char * new_loc); private: // copy not supported for this class Thermometer_impl(const Thermometer_impl & therm); void operator=(const Thermometer_impl & therm); };. Draw Code 128B In Visual C# Using Barcode encoder for .NET .Related: Generate EAN 128 .NET , Print Codabar .NET , VB.NET Code 39 Generation

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In cell A2 enter a test code (for example, 11223344) and click "DEVELOPER" - "Macros". In the menu that appears, select the macro to generate the 8-digit barcode and press "execute".

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