Our main objective in this project is to investigate the potential of using soft computing properties of kernels for real time systems. The key feature of soft computations is that they are able to provide cruder results before they complete, or they may execute for a long period refining a formerly adequate result. This thesis relates to the design issues involving developing a system which makes use of the soft computing qualities of kernels to boost real time performance.
Many real-time systems have significant value in terms of legacy, since large efforts have been spent over many years to ensure their proper functionality. Examples can be found in, e.g., telecom and automation-industries. Maintenance consumes the major part of the budget for
The service oriented computing paradigm is a new model for distributed computing and due to its simplicity and powerful features, it is being popular and has a wide variety of implementation in different scenarios. The already built system is studies in detail,
Automated memory management techniques, or garbage collection, reduces the complexity and problems of manual memory management. When used properly, it will lower development costs and save time by eliminating the need to test the product for faulty memory managed code. With the
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