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Found 2 papers, 1 papers with code
Strict Partitioning for Sporadic Rigid Gang Tasks
In this paper, we propose a new partitioned scheduling strategy for rigid gang tasks, named strict partitioning.
Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning
Using this schedulability test, we propose a new DAG scheduling framework (edge generation scheduling -- EGS) that attempts to minimize the DAG width by iteratively generating edges while guaranteeing the deadline constraint.
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