@inproceedings{31f88cd679a543b3a18e5142fa011d53,
title = "Research on Heterogeneous Distributed Simulation Based on Improved List Scheduling Algorithm",
abstract = "Aiming at the high requirements of time and processor performance for heterogeneous distributed simulation system of unmanned cluster warfare, a list scheduling algorithm (Task Duplicate and Access Integrated Scheduling Algorithm, DAIS) based on task access and task replication is proposed. The algorithm combines the advantages of the HEFT (Heterogeneous Earliest Finish Time) algorithm and the PEFT (Predict Earliest Finish Time) algorithm, introduces the idea of critical path and task access degree to reconstruct the task scheduling list in the priority calculation phase, and adopts the task replication strategy in the processor allocation phase to optimize the processor allocation results. The effectiveness of the DAIS algorithm is verified by conducting comparison experiments with randomly generated directed acyclic graphs (Directed Acyclic Graph, DAG), and simulation results show that the method can obtain shorter scheduling lengths.",
keywords = "List scheduling algorithm, Task scheduling, Unmanned cluster",
author = "Xiaofei Chang and Xiaochuang Ji and Tao Li and Yan Chen and Wenxing Fu",
note = "Publisher Copyright: {\textcopyright} 2023, Beijing HIWING Sci. and Tech. Info Inst.; International Conference on Autonomous Unmanned Systems, ICAUS 2022 ; Conference date: 23-09-2022 Through 25-09-2022",
year = "2023",
doi = "10.1007/978-981-99-0479-2_252",
language = "英语",
isbn = "9789819904785",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "2734--2744",
editor = "Wenxing Fu and Mancang Gu and Yifeng Niu",
booktitle = "Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022",
}