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• W2890089711 abstract "Multi-core environments have become a substantial focus of research in recent years. However, many undermined hypothetical problems and pragmatic issues must be addressed if real-time environments are to be efficiently accommodated on multicore platforms. In multicore platform, every core can utilize the available shared cache resources. Numerous works have shown that real-time scheduling algorithms can be used efficiently with shared cache memory resources present on a single chip. Task reprocessing—Task rescheduling approach on multi-core platform (which is ideal for high-performance systems). This scheme is an improvement over existing cache-aware real-time scheduling, and encourage eligible task sets to be reprocessed based on heuristics called ENCAP [ENhancing shared CAche Performance]. We also address the arguments regarding the implementation of ENCAP on a Linux testbed called LITMUS(^{RT}), and an empirical evaluation of ENCAP is provided. An experimental exploration of ENCAP is presented on a unified Linux system for assessing the real-time schedulability of any task set performance on a medium/large-scale multicore environment under G-EDF." @default.
• W2890089711 created "2018-09-27" @default.
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• W2890089711 date "2018-09-15" @default.
• W2890089711 modified "2023-09-27" @default.
• W2890089711 title "Empirical Evaluation of a Real-Time Task Priority Procedure on Small/Medium-Scale Multi-core Systems" @default.
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• W2890089711 doi "https://doi.org/10.1007/978-981-10-8797-4_40" @default.
• W2890089711 hasPublicationYear "2018" @default.
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