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计算机工程 ›› 2019, Vol. 45 ›› Issue (11): 225-233,242. doi: 10.19678/j.issn.1000-3428.0052218

• 人工智能及识别技术 • 上一篇    下一篇

基于OBDD的信号处理任务智能加卸载算法

谢宗甫, 高博, 岳春生   

  1. 解放军信息工程大学 信息工程学院, 郑州 450001
  • 收稿日期:2018-07-25 修回日期:2018-10-05 发布日期:2018-10-28
  • 作者简介:谢宗甫(1993-),男,硕士研究生,主研方向为信号处理;高博,教授、博士;岳春生,教授。
  • 基金资助:
    国家科技支撑计划项目(2013BAH56F00)。

Intelligent Loading and Unloading Algorithm for Signal Processing Tasks Based on OBDD

XIE Zongfu, GAO Bo, YUE Chunsheng   

  1. College of Information Engineering, PLA Information Engineering University, Zhengzhou 450001, China
  • Received:2018-07-25 Revised:2018-10-05 Published:2018-10-28

摘要: 为实现信号处理平台中应用任务的快速动态加卸载和智能切换,提出一种基于有序二叉决策图(OBDD)的智能加卸载算法。在分析智能加卸载整体系统构成的基础上,构建信号处理平台软硬件资源模型、态势参数定义字典和智能加卸载规则库。通过基于OBDD的智能规则决策算法,实现最小人工干预下的应用任务智能加卸载。实验结果表明,与顺序规则存储算法相比,该算法的效率较高,圈复杂度较低。

关键词: 动态加载, 智能切换, 软硬件资源模型, 参数定义字典, 规则库, 有序二叉决策图

Abstract: In order to realize the fast dynamic loading,unloading and intelligent switching for application tasks in the signal processing platform,an intelligent loading and unloading algorithm based on Ordered Binary Decision Diagram (OBDD) is proposed.Based on the analysis of the whole intelligent loading and unloading system,the software and hardware resource model for the signal processing platform,situation parameter definition dictionary and intelligent loading and unloading rule database of signal processing platform are constructed.Through the intelligent rule decision algorithm based on OBDD,the intelligent loading and unloading for the application tasks under the minimum manual intervention is realized.Experimental results show that compared with the sequential rule storage algorithm,the proposed algorithm has higher efficiency and lower cyclomatic complexity.

Key words: dynamic loading, intelligent switching, software and hardware resource model, parameter definition dictionary, rule database, Ordered Binary Decision Diagram(OBDD)

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