Performance evaluation of memory management configurations in linux for an OS-level design space exploration

Sangsoo Park; Heonshik Shin

doi:10.1007/978-3-540-73625-7_5

Performance evaluation of memory management configurations in linux for an OS-level design space exploration

Sangsoo Park, Heonshik Shin

Computer Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The objective of this paper is to analyze how the memory management configuration in Linux influences run-time performance of embedded systems. Extensive experiments confirm that the configuration of the memory management subsystem significantly affects the overall execution time, the memory performance, and the system call overhead. Our quantitative experimental results will help embedded systems designers to understand the effect of memory management configurations on the applications within a system, and contribute to the design of more efficient systems with an OS-level design space exploration.

Original language	English
Title of host publication	Embedded Computer Systems
Subtitle of host publication	Architectures, Modeling, and Simulation - 7th International Workshop, SAMOS 2007, Proceedings
Publisher	Springer Verlag
Pages	24-33
Number of pages	10
ISBN (Print)	9783540736226
DOIs	https://doi.org/10.1007/978-3-540-73625-7_5
State	Published - 2007
Event	7th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2007 - Samos, Greece Duration: 16 Jul 2007 → 19 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4599 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2007
Country/Territory	Greece
City	Samos
Period	16/07/07 → 19/07/07

Access to Document

10.1007/978-3-540-73625-7_5

Cite this

Park, S., & Shin, H. (2007). Performance evaluation of memory management configurations in linux for an OS-level design space exploration. In Embedded Computer Systems: Architectures, Modeling, and Simulation - 7th International Workshop, SAMOS 2007, Proceedings (pp. 24-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4599 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-73625-7_5

Park, Sangsoo ; Shin, Heonshik. / Performance evaluation of memory management configurations in linux for an OS-level design space exploration. Embedded Computer Systems: Architectures, Modeling, and Simulation - 7th International Workshop, SAMOS 2007, Proceedings. Springer Verlag, 2007. pp. 24-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Performance evaluation of memory management configurations in linux for an OS-level design space exploration",

abstract = "The objective of this paper is to analyze how the memory management configuration in Linux influences run-time performance of embedded systems. Extensive experiments confirm that the configuration of the memory management subsystem significantly affects the overall execution time, the memory performance, and the system call overhead. Our quantitative experimental results will help embedded systems designers to understand the effect of memory management configurations on the applications within a system, and contribute to the design of more efficient systems with an OS-level design space exploration.",

author = "Sangsoo Park and Heonshik Shin",

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doi = "10.1007/978-3-540-73625-7_5",

language = "English",

isbn = "9783540736226",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Park, S & Shin, H 2007, Performance evaluation of memory management configurations in linux for an OS-level design space exploration. in Embedded Computer Systems: Architectures, Modeling, and Simulation - 7th International Workshop, SAMOS 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4599 LNCS, Springer Verlag, pp. 24-33, 7th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2007, Samos, Greece, 16/07/07. https://doi.org/10.1007/978-3-540-73625-7_5

Performance evaluation of memory management configurations in linux for an OS-level design space exploration. / Park, Sangsoo; Shin, Heonshik.

Embedded Computer Systems: Architectures, Modeling, and Simulation - 7th International Workshop, SAMOS 2007, Proceedings. Springer Verlag, 2007. p. 24-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4599 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The objective of this paper is to analyze how the memory management configuration in Linux influences run-time performance of embedded systems. Extensive experiments confirm that the configuration of the memory management subsystem significantly affects the overall execution time, the memory performance, and the system call overhead. Our quantitative experimental results will help embedded systems designers to understand the effect of memory management configurations on the applications within a system, and contribute to the design of more efficient systems with an OS-level design space exploration.

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Park S, Shin H. Performance evaluation of memory management configurations in linux for an OS-level design space exploration. In Embedded Computer Systems: Architectures, Modeling, and Simulation - 7th International Workshop, SAMOS 2007, Proceedings. Springer Verlag. 2007. p. 24-33. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-73625-7_5

Performance evaluation of memory management configurations in linux for an OS-level design space exploration

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