{"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}
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.