A performance Analysis Tool for Scenario-Aware Streaming Applications

B.D. Theelen

doi:10.1109/QEST.2007.7

A performance Analysis Tool for Scenario-Aware Streaming Applications

B.D. Theelen

Electronic Systems

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

Abstract

Dataflow models are often used for analysing streaming applications. The recently introduced scenario-aware extension of the synchronous dataflow model can capture the dynamism in computation and communication resource requirements of streaming applications that originates from different modes of operation (scenarios). This scenario-aware dataflow model uses a probabilistic approach to express the order in which scenarios (and different execution times within a scenario) occur. This paper discusses a tool for exhaustive and simulation-based analysis of various important performance metrics for scenario-aware streaming applications.

Original language	English
Title of host publication	Proceedings of the 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007) 17-19 September 2007, Edinburgh, UK
Place of Publication	Los Alamitos
Publisher	IEEE Computer Society
Pages	269-270
ISBN (Print)	978-0-7695-2883-0
DOIs	https://doi.org/10.1109/QEST.2007.7
Publication status	Published - 2007
Event	conference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19 - Duration: 17 Sep 2007 → 19 Sep 2007

Conference

Conference	conference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19
Period	17/09/07 → 19/09/07
Other	QEST 2007, Edinburgh, UK

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10.1109/QEST.2007.7

Cite this

@inproceedings{48247b44606f4d9290b1d936bf1fbf18,

title = "A performance Analysis Tool for Scenario-Aware Streaming Applications",

abstract = "Dataflow models are often used for analysing streaming applications. The recently introduced scenario-aware extension of the synchronous dataflow model can capture the dynamism in computation and communication resource requirements of streaming applications that originates from different modes of operation (scenarios). This scenario-aware dataflow model uses a probabilistic approach to express the order in which scenarios (and different execution times within a scenario) occur. This paper discusses a tool for exhaustive and simulation-based analysis of various important performance metrics for scenario-aware streaming applications.",

author = "B.D. Theelen",

year = "2007",

doi = "10.1109/QEST.2007.7",

language = "English",

isbn = "978-0-7695-2883-0",

pages = "269--270",

booktitle = "Proceedings of the 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007) 17-19 September 2007, Edinburgh, UK",

publisher = "IEEE Computer Society",

address = "United States",

note = "conference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19 ; Conference date: 17-09-2007 Through 19-09-2007",

}

Theelen, BD 2007, A performance Analysis Tool for Scenario-Aware Streaming Applications. in Proceedings of the 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007) 17-19 September 2007, Edinburgh, UK. IEEE Computer Society, Los Alamitos, pp. 269-270, conference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19, 17/09/07. https://doi.org/10.1109/QEST.2007.7

A performance Analysis Tool for Scenario-Aware Streaming Applications. / Theelen, B.D.

Proceedings of the 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007) 17-19 September 2007, Edinburgh, UK. Los Alamitos : IEEE Computer Society, 2007. p. 269-270.

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

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AB - Dataflow models are often used for analysing streaming applications. The recently introduced scenario-aware extension of the synchronous dataflow model can capture the dynamism in computation and communication resource requirements of streaming applications that originates from different modes of operation (scenarios). This scenario-aware dataflow model uses a probabilistic approach to express the order in which scenarios (and different execution times within a scenario) occur. This paper discusses a tool for exhaustive and simulation-based analysis of various important performance metrics for scenario-aware streaming applications.

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DO - 10.1109/QEST.2007.7

M3 - Conference contribution

SN - 978-0-7695-2883-0

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EP - 270

BT - Proceedings of the 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007) 17-19 September 2007, Edinburgh, UK

PB - IEEE Computer Society

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T2 - conference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19

Y2 - 17 September 2007 through 19 September 2007

ER -

A performance Analysis Tool for Scenario-Aware Streaming Applications

Abstract

Conference

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