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abstract

Time Bands: A Software Approach for Timing Analysis on Resource Constrained Systems

Published: 17 April 2017 Publication History

Abstract

Timing analysis of embedded systems is an operation performed when there are tasks that have to execute with a well precise deadline, and need to be scheduled, such as those on real-time systems. The diffusion of embedded systems to different kind of application areas is driving platforms toward heterogeneous multi-core architectures, that require a timing analysis done by using measurement based techniques. Measurements collection, when done via an instrumentation of the application, can cause an overhead in the execution time, footprint and necessary space to store data, that can affect the behaviour of the system. In such a scenario, this work proposes a framework that allows a user to quickly perform instrumentation choices, by using a concept named Time Band, and to have a direct feedback about the impact of its choices on some performance parameters. Time Band is then applied to Rapitime, a diffused timing analysis tool, and first tests have been done on IA-32 and PowerPC architectures, showing the advantages of different techniques the can be applied to realize the framework.

Supplementary Material

RAR File (icpe253d.rar)
The auxiliary material contains the poster to be presented at the conference. It can be opened a PDF viewer such as Adobe Acrobat.

References

[1]
Powerpc. https://www-01.ibm.com/chips/techlib/techlib.nsf/productfamilies/PowerPC/. Accessed: 2016--12--22.
[2]
Qemu homepage. http://wiki.qemu.org/Main Page. Accessed: 2016--12--22.
[3]
Rapitime. https://www.rapitasystems.com/products/rapitime. Accessed: 2016--12--22.
[4]
M. R. Guthaus, J. S. Ringenberg, D. Ernst, T. M. Austin, and R. B. B. T. Mudge. Mibench: A free, commercially representative embedded benchmark suite. In Proceedings of the Fourth Annual IEEE International Workshop on Workload Characterization. WWC-4 (Cat. No.01EX538), pages 3--14, Dec 2001.
[5]
R. Wilhelm, J. Engblom, A. Ermedahl, N. Holsti, S. Thesing, D. Whalley, G. Bernat, C. Ferdinand, R. Heckmann, T. Mitra, F. Mueller, I. Paut, P. Puschner, J. Staschulat, P. Stenstrom. The worst-case execution-time problem -- overview of methods and survey of tools. ACM Trans. Embed. Comput. Syst., 7(3):36:1--36:53, May 2008.

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Published In

cover image ACM Conferences
ICPE '17: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering
April 2017
450 pages
ISBN:9781450344043
DOI:10.1145/3030207
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 April 2017

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Author Tags

  1. embedded systems
  2. resource constrained systems
  3. timing analysis
  4. wcet

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ICPE '17
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ICPE '17 Paper Acceptance Rate 27 of 83 submissions, 33%;
Overall Acceptance Rate 252 of 851 submissions, 30%

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