Workload and task characterization based on operation modes timing analysis

A. Patino A. Gustavo; Jorge Gonzalez; Wang Jiang Chau; Marius Strum

doi:10.1109/SOCC.2012.6398356

Workload and task characterization based on operation modes timing analysis

A. Patino A. Gustavo, Jorge Gonzalez, Wang Jiang Chau, Marius Strum

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

1 Scopus citations

Abstract

Performance analysis of real-time embedded systems usually is based on the worst-case execution times (WCET) of the executed tasks. Nevertheless, in real-world applications the running time of tasks varies due to different events that trigger the system, imposing a different workload on the system resources. This paper presents an analytic method to characterize tasks with variable execution requirements by finding the operation modes of every task code and estimating the WCET and BCET of each given mode. Then, we build a workload curve for every task for analyzing its performance by means of Real Calculus. A multimedia decoder was used to test this method.

Original language	English
Title of host publication	Proceedings - IEEE International SOC Conference, SOCC 2012
Pages	248-253
Number of pages	6
DOIs	https://doi.org/10.1109/SOCC.2012.6398356
State	Published - 2012
Externally published	Yes
Event	25th IEEE International System-on-Chip Conference, SOCC 2012 - Niagara Falls, NY, United States Duration: 12 Sep 2012 → 14 Sep 2012

Publication series

Name	International System on Chip Conference
ISSN (Print)	2164-1676
ISSN (Electronic)	2164-1706

Conference

Conference	25th IEEE International System-on-Chip Conference, SOCC 2012
Country/Territory	United States
City	Niagara Falls, NY
Period	12/09/12 → 14/09/12

Keywords

Basic Blocks
Event Stream
Execution Time
Microarchitectural Analysis
Operation Modes
Real-time Calculus
Static path Analysis
Timing Analysis
Workload Curves

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10.1109/SOCC.2012.6398356

Cite this

@inproceedings{25bf94e593fa4bd9a3297b299358f544,

title = "Workload and task characterization based on operation modes timing analysis",

abstract = "Performance analysis of real-time embedded systems usually is based on the worst-case execution times (WCET) of the executed tasks. Nevertheless, in real-world applications the running time of tasks varies due to different events that trigger the system, imposing a different workload on the system resources. This paper presents an analytic method to characterize tasks with variable execution requirements by finding the operation modes of every task code and estimating the WCET and BCET of each given mode. Then, we build a workload curve for every task for analyzing its performance by means of Real Calculus. A multimedia decoder was used to test this method.",

keywords = "Basic Blocks, Event Stream, Execution Time, Microarchitectural Analysis, Operation Modes, Real-time Calculus, Static path Analysis, Timing Analysis, Workload Curves",

author = "Gustavo, \{A. Patino A.\} and Jorge Gonzalez and Chau, \{Wang Jiang\} and Marius Strum",

year = "2012",

doi = "10.1109/SOCC.2012.6398356",

language = "English",

isbn = "9781467312950",

series = "International System on Chip Conference",

pages = "248--253",

booktitle = "Proceedings - IEEE International SOC Conference, SOCC 2012",

note = "25th IEEE International System-on-Chip Conference, SOCC 2012 ; Conference date: 12-09-2012 Through 14-09-2012",

}

Gustavo, APA, Gonzalez, J, Chau, WJ & Strum, M 2012, Workload and task characterization based on operation modes timing analysis. in Proceedings - IEEE International SOC Conference, SOCC 2012., 6398356, International System on Chip Conference, pp. 248-253, 25th IEEE International System-on-Chip Conference, SOCC 2012, Niagara Falls, NY, United States, 12/09/12. https://doi.org/10.1109/SOCC.2012.6398356

Workload and task characterization based on operation modes timing analysis. / Gustavo, A. Patino A.; Gonzalez, Jorge; Chau, Wang Jiang et al.
Proceedings - IEEE International SOC Conference, SOCC 2012. 2012. p. 248-253 6398356 (International System on Chip Conference).

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

TY - GEN

T1 - Workload and task characterization based on operation modes timing analysis

AU - Gustavo, A. Patino A.

AU - Gonzalez, Jorge

AU - Chau, Wang Jiang

AU - Strum, Marius

PY - 2012

Y1 - 2012

N2 - Performance analysis of real-time embedded systems usually is based on the worst-case execution times (WCET) of the executed tasks. Nevertheless, in real-world applications the running time of tasks varies due to different events that trigger the system, imposing a different workload on the system resources. This paper presents an analytic method to characterize tasks with variable execution requirements by finding the operation modes of every task code and estimating the WCET and BCET of each given mode. Then, we build a workload curve for every task for analyzing its performance by means of Real Calculus. A multimedia decoder was used to test this method.

AB - Performance analysis of real-time embedded systems usually is based on the worst-case execution times (WCET) of the executed tasks. Nevertheless, in real-world applications the running time of tasks varies due to different events that trigger the system, imposing a different workload on the system resources. This paper presents an analytic method to characterize tasks with variable execution requirements by finding the operation modes of every task code and estimating the WCET and BCET of each given mode. Then, we build a workload curve for every task for analyzing its performance by means of Real Calculus. A multimedia decoder was used to test this method.

KW - Basic Blocks

KW - Event Stream

KW - Execution Time

KW - Microarchitectural Analysis

KW - Operation Modes

KW - Real-time Calculus

KW - Static path Analysis

KW - Timing Analysis

KW - Workload Curves

UR - https://www.scopus.com/pages/publications/84872555418

U2 - 10.1109/SOCC.2012.6398356

DO - 10.1109/SOCC.2012.6398356

M3 - Conference contribution

AN - SCOPUS:84872555418

SN - 9781467312950

T3 - International System on Chip Conference

SP - 248

EP - 253

BT - Proceedings - IEEE International SOC Conference, SOCC 2012

T2 - 25th IEEE International System-on-Chip Conference, SOCC 2012

Y2 - 12 September 2012 through 14 September 2012

ER -

Workload and task characterization based on operation modes timing analysis

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Keywords

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