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Real-Time Middleware

August 7, 2009

Real-time is characterized by the right data being provided on time otherwise it is no longer the correct data.
The real-time middleware supports time-sensitive request and scheduling policies. It does this with services that improve the effectiveness of the user applications. Real-time middleware can be divided into different applications using them. These include a real-time database application, sensor processing, and information passing.
There are several types of real-time middleware products or services available today.
Some of these (TANGO, OASIS, GOPI, DRE, and TMOSM) will be discussed in the rest of this section. Real-time information passing middleware has increased dramatically with the introduction of the Internet, wireless networks, and new dissemination-based applications.
These applications are required to disseminate data to a large number of users like stocks and sports tickers, traffic information, electronic newspapers, and entertainment broadcasting.
Strengths of time-dependent middleware are:

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They provide a decision process that determines the best approach for solving time-sensitive procedures.
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They can assist the operating system in the allocation of resources to aid time sensitive applications to meet their deadlines.

Weaknesses of the real-time middleware are:

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It is difficult to integrate security and fault tolerant services with real-time computing. This is because additional processing (sometimes extensive) needs to be performed to provide the security and fault tolerant services.
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Because the middleware may need to manage threads that will affect the scheduler (inside the kernel), extra execution overhead will be incurred.

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