USB Bulk Transfer Research Based on SARSA Learning Algorithm

ZHANG Qiuyun; JIANG Hong

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USB Bulk Transfer Research Based on SARSA Learning Algorithm

更新时间：2023-12-11

- USB Bulk Transfer Research Based on SARSA Learning Algorithm
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 53, Issue 5, Pages: 73-78(2014)
- 作者机构：
  
  西南科技大学信息工程学院,四川,绵阳,621010
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014，
  
  Published Online：25 September 2014，
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ZHANG Qiuyun, JIANG Hong. USB Bulk Transfer Research Based on SARSA Learning Algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 53(5):73-78(2014)
DOI：

ZHANG Qiuyun, JIANG Hong. USB Bulk Transfer Research Based on SARSA Learning Algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 53(5):73-78(2014) DOI：

摘要

目前USB在PC外设中应用越来越多，传输数据量不断增加对USB传输效率要求越来越高。但实际应用中因USB系统软件、设备自身特性等因素的影响，使得数据传输过程中USB带宽资源浪费严重。针对该问题，利用SARSA学习算法设计一种USB块传输事务调度方法，根据当前状态智能的分配每一帧中的事务。仿真结果表明，在多种块传输情况下，该方法与系统方式相比明显提高了USB带宽有效利用率和吞吐量。

Abstract

USB is widely used in PC peripherals

and the increase of transmission data results in increasingly high requirement on transmission efficiency. However

there is a serious waste of USB bandwidth resources

due to the USB system software and characteristics of devices. A USB bulk transfer transaction scheduling method with SARSA learning algorithm for this problem

intelligently allocating the transactions in each frame based on current environment is designed. Simulation results show that this method significantly improves the utilization effectiveness of USB bandwidth and the throughput

compared to the method of the USB system

in the case of multiple bulk transfers.

关键词

USBSARSA块传输USB带宽有效利用率

Keywords

USBSARSAbulk transferutilization effectiveness of USB bandwidth

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