RD-Gen: Random DAG Generator Considering Multi-rate Applications for Reproducible Scheduling Evaluation

Author:

Yano Atsushi1,Azumi Takuya2

Affiliation:

1. Tier IV, Inc

2. Saitama University,Tier IV, Inc, Graduate School of Science and Engineering

Funder

Technology Development

Publisher

IEEE

Reference32 articles.

1. Hard real-time stationary GANG-scheduling;ueter;Proc Of ECRTS,2021

2. Suspension-aware fixed-priority schedulability test with arbitrary deadlines and arrival curves;günzel;Proc of RTSS,2021

3. Mixed-Criticality Scheduling in Compositional Real-Time Systems with Multiple Budget Estimates

4. Conditionally Optimal Parallelization of Real-Time DAG Tasks for Global EDF

5. An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing

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1. Replica fault-tolerant scheduling with time guarantee under energy constraint in fog computing;Future Generation Computer Systems;2024-10

2. IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

3. DAG Scheduling for Clustered Many-Core Processor Considering Execution-Time-Reduction Effectiveness;2023 IEEE/ACM 27th International Symposium on Distributed Simulation and Real Time Applications (DS-RT);2023-10-04

4. Estimation of Deadline Miss Rate for DAG Mixed Timer-Driven and Event-Driven Nodes;2023 IEEE/ACM 27th International Symposium on Distributed Simulation and Real Time Applications (DS-RT);2023-10-04

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