Qduino:一个用于嵌入式计算的多线程Arduino系统

Zhuoqun Cheng, Ye Li, R. West
{"title":"Qduino:一个用于嵌入式计算的多线程Arduino系统","authors":"Zhuoqun Cheng, Ye Li, R. West","doi":"10.1109/RTSS.2015.32","DOIUrl":null,"url":null,"abstract":"Arduino is an open source platform that offers a clear and simple environment for physical computing. It is now widely used in modern robotics and Internet of Things (IoT) applications, due in part to its low-cost, ease of programming, and rapid prototyping capabilities. Sensors and actuators can easily be connected to the analog and digital I/O pins of an Arduino device, which features an on-board microcontroller programmed using the Arduino API. The increasing complexity of physical computing applications has now led to a series of Arduino-compatible devices with faster processors, increased flash storage, larger memories and more complicated I/O architectures. The Intel Galileo, for example, is designed to support the Arduino API on top of a Linux system, code-named Clanton. However, the standard API is restricted to the capabilities found on less powerful devices, lacking support for multithreaded programs, or specification of real-time requirements. In this paper, we present Qduino, a system developed for Arduino compatible boards. Qduino provides an extended Arduino API which, while backward-compatible with the original API, supports real-time multithreaded sketches and event handling. Experiments show the performance gains of Qduino compared to Clanton Linux.","PeriodicalId":239882,"journal":{"name":"2015 IEEE Real-Time Systems Symposium","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Qduino: A Multithreaded Arduino System for Embedded Computing\",\"authors\":\"Zhuoqun Cheng, Ye Li, R. West\",\"doi\":\"10.1109/RTSS.2015.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Arduino is an open source platform that offers a clear and simple environment for physical computing. It is now widely used in modern robotics and Internet of Things (IoT) applications, due in part to its low-cost, ease of programming, and rapid prototyping capabilities. Sensors and actuators can easily be connected to the analog and digital I/O pins of an Arduino device, which features an on-board microcontroller programmed using the Arduino API. The increasing complexity of physical computing applications has now led to a series of Arduino-compatible devices with faster processors, increased flash storage, larger memories and more complicated I/O architectures. The Intel Galileo, for example, is designed to support the Arduino API on top of a Linux system, code-named Clanton. However, the standard API is restricted to the capabilities found on less powerful devices, lacking support for multithreaded programs, or specification of real-time requirements. In this paper, we present Qduino, a system developed for Arduino compatible boards. Qduino provides an extended Arduino API which, while backward-compatible with the original API, supports real-time multithreaded sketches and event handling. Experiments show the performance gains of Qduino compared to Clanton Linux.\",\"PeriodicalId\":239882,\"journal\":{\"name\":\"2015 IEEE Real-Time Systems Symposium\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Real-Time Systems Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTSS.2015.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Real-Time Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSS.2015.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

Arduino是一个开源平台,为物理计算提供了一个清晰简单的环境。它现在广泛应用于现代机器人和物联网(IoT)应用,部分原因是它的低成本、易于编程和快速原型制作能力。传感器和执行器可以很容易地连接到Arduino设备的模拟和数字I/O引脚,该设备具有使用Arduino API编程的板载微控制器。随着物理计算应用的日益复杂,现在出现了一系列与arduino兼容的设备,它们具有更快的处理器、更大的闪存、更大的内存和更复杂的I/O架构。例如,英特尔的伽利略(Galileo)被设计为在一个代号为Clanton的Linux系统之上支持Arduino API。然而,标准API仅限于功能较弱的设备上的功能,缺乏对多线程程序的支持,或者对实时需求的规范。本文介绍了一个基于Arduino兼容板开发的Qduino系统。Qduino提供了一个扩展的Arduino API,虽然向后兼容原始API,但支持实时多线程草图和事件处理。实验表明,与Clanton Linux相比,Qduino的性能有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Qduino: A Multithreaded Arduino System for Embedded Computing
Arduino is an open source platform that offers a clear and simple environment for physical computing. It is now widely used in modern robotics and Internet of Things (IoT) applications, due in part to its low-cost, ease of programming, and rapid prototyping capabilities. Sensors and actuators can easily be connected to the analog and digital I/O pins of an Arduino device, which features an on-board microcontroller programmed using the Arduino API. The increasing complexity of physical computing applications has now led to a series of Arduino-compatible devices with faster processors, increased flash storage, larger memories and more complicated I/O architectures. The Intel Galileo, for example, is designed to support the Arduino API on top of a Linux system, code-named Clanton. However, the standard API is restricted to the capabilities found on less powerful devices, lacking support for multithreaded programs, or specification of real-time requirements. In this paper, we present Qduino, a system developed for Arduino compatible boards. Qduino provides an extended Arduino API which, while backward-compatible with the original API, supports real-time multithreaded sketches and event handling. Experiments show the performance gains of Qduino compared to Clanton Linux.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信