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It ensures temporal partitioning between independent applications with budget adaption feature, where CPU time of each application is periodically and dynamically assigned. Implemented in the kernel of TI-RTOS on a resource constrained platform, experiments show that proposed scheme provides good performance for multiple applications with dynamic tasks under overload conditions. Compared with traditional priority scheduler originally implemented in TI-RTOS and EDF scheduler, it achieves low miss ratio with minimal overhead while yielding temporal partitioning.<\/jats:p>","DOI":"10.4018\/ijertcs.2019010107","type":"journal-article","created":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T15:06:15Z","timestamp":1540307175000},"page":"119-135","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive Hierarchical Scheduling Framework for TiRTOS"],"prefix":"10.4018","volume":"10","author":[{"given":"Hesham","family":"Hussien","sequence":"first","affiliation":[{"name":"Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt"}]},{"given":"Eman","family":"Shaaban","sequence":"additional","affiliation":[{"name":"Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt"}]},{"given":"Said","family":"Ghoniemy","sequence":"additional","affiliation":[{"name":"Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt"}]}],"member":"2432","reference":[{"key":"IJERTCS.2019010107-0","unstructured":"\u00c5str\u00f6m, K. 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