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Compiler-Assisted Software Fault Tol...

James, Benjamin.

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Compiler-Assisted Software Fault Tolerance for Bare Metal and RTOS Applications on Embedded Platforms.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Compiler-Assisted Software Fault Tolerance for Bare Metal and RTOS Applications on Embedded Platforms./
作者:	James, Benjamin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	133 p.
附註:	Source: Masters Abstracts International, Volume: 83-01.
Contained By:	Masters Abstracts International83-01.
標題:	Computer engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28538366
ISBN:	9798522939168

Compiler-Assisted Software Fault Tolerance for Bare Metal and RTOS Applications on Embedded Platforms.
James, Benjamin.

Compiler-Assisted Software Fault Tolerance for Bare Metal and RTOS Applications on Embedded Platforms. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 133 p.

Source: Masters Abstracts International, Volume: 83-01.

Thesis (M.Sc.)--Brigham Young University, 2021.

This item must not be sold to any third party vendors.

In the presence of ionizing particles and other high-energy atomic sources, many electronic and computer systems fail. Single event upsets (SEUs) can be mitigated through hardware and/or software methods. Previous research at BYU has introduced COAST, a compiler-based tool that can automatically add software protection schemes to improve fault coverage of programs.This thesis will expand on the work already done with the COAST project by proving its effectiveness across multiple platforms and benchmarks. The ability to automatically add fault protection to arbitrary user programs will be very valuable for many application designers. The results presented herein show that mean work to failure (MWTF) of an application can increase from 1.2x - 36x when protected by COAST.In addition to the results based on bare metal applications, in this thesis we will show that it is both possible and profitable to protect a real-time operating system with COAST. We present experimental results which show that our protection scheme gives a 2x - 100x improvement in MWTF. We also present a fault injection framework that allows for rapid and reliable testing of multiple protection schemes across different benchmarks. The code setup used in this paper is publicly available. We make it public in the hope that it will be useful for others doing similar research to have a concrete starting point.

ISBN: 9798522939168Subjects--Topical Terms:

621879
Computer engineering.
Subjects--Index Terms:

Single event upsets

Compiler-Assisted Software Fault Tolerance for Bare Metal and RTOS Applications on Embedded Platforms.
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300 $a 133 p.
500 $a Source: Masters Abstracts International, Volume: 83-01.
500 $a Advisor: Goeders, Jeffrey B.;Wirthlin, Mike;Lundrigan, Phil.
502 $a Thesis (M.Sc.)--Brigham Young University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a In the presence of ionizing particles and other high-energy atomic sources, many electronic and computer systems fail. Single event upsets (SEUs) can be mitigated through hardware and/or software methods. Previous research at BYU has introduced COAST, a compiler-based tool that can automatically add software protection schemes to improve fault coverage of programs.This thesis will expand on the work already done with the COAST project by proving its effectiveness across multiple platforms and benchmarks. The ability to automatically add fault protection to arbitrary user programs will be very valuable for many application designers. The results presented herein show that mean work to failure (MWTF) of an application can increase from 1.2x - 36x when protected by COAST.In addition to the results based on bare metal applications, in this thesis we will show that it is both possible and profitable to protect a real-time operating system with COAST. We present experimental results which show that our protection scheme gives a 2x - 100x improvement in MWTF. We also present a fault injection framework that allows for rapid and reliable testing of multiple protection schemes across different benchmarks. The code setup used in this paper is publicly available. We make it public in the hope that it will be useful for others doing similar research to have a concrete starting point.
590 $a School code: 0022.
650 4 $a Computer engineering. $3 621879
650 4 $a Computer science. $3 523869
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Regression analysis. $3 529831
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650 4 $a Benchmarks. $3 3548256
653 $a Single event upsets
653 $a Mean work to failure
653 $a Compiler-assisted software fault tolerance
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793 $a English
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