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Dynamic Binary Translators (DBTs) provide powerful platforms for building dynamic program monitoring and adaptation tools. DBTs, however, have high memory demands because they cache translated code and auxiliary code to a software code cache and must also maintain data structures to support the code cache. The high memory demands make it difficult for memory-constrained embedded systems to take advantage of DBT-based tools. Previous research on DBT memory management focused on the translated code and auxiliary code only. However, the authors found that data structures are comparable to the code cache in size. They show that the translated code size, auxiliary code size and the data structure size interact in a complex manner, depending on the path selection (trace selection and link formation) strategy.
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