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Software/Hardware RTOS and System Ov...

Rajeh, Khaled.

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Software/Hardware RTOS and System Overhead in a Hard Real-Time Environment.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Software/Hardware RTOS and System Overhead in a Hard Real-Time Environment./
作者:	Rajeh, Khaled.
面頁冊數:	149 p.
附註:	Source: Masters Abstracts International, Volume: 49-03, page: 1877.
Contained By:	Masters Abstracts International49-03.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR68642
ISBN:	9780494686423

Software/Hardware RTOS and System Overhead in a Hard Real-Time Environment.
Rajeh, Khaled.

Software/Hardware RTOS and System Overhead in a Hard Real-Time Environment. - 149 p.

Source: Masters Abstracts International, Volume: 49-03, page: 1877.

Thesis (M.A.Sc.)--Carleton University (Canada), 2010.

Using a Real-Time Operating Systems (RTOS) in an embedded system is a good solution for reducing design time, but an RTOS can affect runtime behaviours. Developers of hard real-time systems should be very careful, as these RTOS effects may result in missing a critical deadline. An RTOS lacks determinism because of associated jitter and system overhead. Therefore, it is important to have a tool that can be used to decide whether or not a system using an RTOS can meet hard real-time constraints.

ISBN: 9780494686423Subjects--Topical Terms:

1018128
Engineering, System Science.

Software/Hardware RTOS and System Overhead in a Hard Real-Time Environment.
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520 $a Using a Real-Time Operating Systems (RTOS) in an embedded system is a good solution for reducing design time, but an RTOS can affect runtime behaviours. Developers of hard real-time systems should be very careful, as these RTOS effects may result in missing a critical deadline. An RTOS lacks determinism because of associated jitter and system overhead. Therefore, it is important to have a tool that can be used to decide whether or not a system using an RTOS can meet hard real-time constraints.
520 $a This thesis extends the standard task response time model to account for system overhead and to improve the prediction of task response times. Furthermore, runtime determinism can be improved by partitioning the RTOS into hardware and software components. A Field Programmable Gate Array (FPGA) is used to build a prototype to explore a partitioning of the muC/OS-II RTOS. A case study illustrates the improved determinism of the partitioned RTOS system, and provides performance data needed to compare the standard response time model to the improved model. The results show that applying the improved model to the partitioned RTOS can improve the response time prediction accuracy by several orders of magnitude.
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