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In this paper, we propose novel low-energy static and dynamic scheduling algorithms with low computational complexities, for heterogeneous multiprocessor real-time embedded systems. We consider task graphs with deadlines and precedence relationships to satisfy. We propose a novel scheme, referred to as "critical-path information track-and update", based on critical-path analysis to distribute...
In this paper, we propose novel low-energy static and dynamic scheduling algorithms for the heterogeneous Body Area Network (BAN) systems, where task graphs have deadlines (timing constraints) and precedence relationships to satisfy. Our proposed algorithms, with low computational complexities, use the novel "path information track-and-update" scheme to distribute slack over tasks such that...
In this paper, we propose novel low-energy scheduling algorithms with low computational complexities for the heterogeneous body area network (BAN) systems, considering task graphs with deadlines (timing constraints) and precedence relationships to satisfy. Our proposed novel scheme, referred to as "critical-path information track-and-update", analyses the critical-paths, identifies the slack...
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