A set of language-independent schedulability analysis techniques is presented. Utilizing knowledge of implementation- and hardware-dependent information in a table-driven fashion, these techniques provide accurate worst-case time bounds and other schedulability information. A prototype schedulability analyzer has been developed to demonstrate the effectiveness of these techniques. The analyzer consists of a partially language-dependent front-end, targeted at real-time Euclid, a real-time language specifically designed with a set of schedulability analysis provisions built-in, and a language-dependent back-end. The analyzer has been used on a number of realistic real-time programs run on a multiple-microprocessor system. Predicted program performance differs only marginally from the actual performance.
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