Modelling aspects of model-based dynamic QoS management by the performability manager

Leonard J.N. Franken; Raymond H. Pijpers; Boudewijn R.H.M. Haverkort

doi:10.1007/3-540-58021-2_5

Modelling aspects of model-based dynamic QoS management by the performability manager

Leonard J.N. Franken, Raymond H. Pijpers, Boudewijn R.H.M. Haverkort

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

3 Citations (Scopus)

127 Downloads (Pure)

Abstract

The Performability Manager (PM) is a distributed system component which maintains the application-requested Quality of Service (QoS) by dynamically reconfiguring ANSAware-based distributed applications, using a model-based optimization procedure. The PM receives information about the ANSAware-based application from a distributed monitoring process based on JEWEL and DEMON. With this information, and using predefined stochastic Petri net (SPN) models of ANSAware applications, the PM automatically constructs an overall SPN performability model which is subsequently used for the determination of the provided QoS. Based on the analysis results, the PM can decide to initiate on-line system reconfigurations, if such is needed for maintaining the requested QoS. ANSAware provides facilities for these dynamic reconfigurations.

In this paper we focus on the modelling aspects of model-based dynamic QoS management by the performability manager. We present an ANSAware-based experimental distributed environment in which the modelling and evaluation aspects are totally automated. We also show the feasibility of the proposed PM by presenting some operational results.

Original language	English
Title of host publication	Computer Performance Evaluation Modelling Techniques and Tools
Subtitle of host publication	7th International Conference Vienna, Austria, May 3–6, 1994. Proceedings
Editors	Günter Haring, Gabriele Kotsis
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	89-110
Number of pages	22
ISBN (Electronic)	978-3-540-48416-5
ISBN (Print)	978-3-540-58021-8
DOIs	https://doi.org/10.1007/3-540-58021-2_5
Publication status	Published - 1994
Event	7th International Conference on Computer Performance Evaluation Modelling Techniques and Tools, TOOLS 1994 - Vienna, Austria Duration: 4 May 1994 → 6 May 1994 Conference number: 7

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	794
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computer Performance Evaluation Modelling Techniques and Tools, TOOLS 1994
Abbreviated title	TOOLS
Country/Territory	Austria
City	Vienna
Period	4/05/94 → 6/05/94

Keywords

Turnaround time
System part
Application component
Task component
Dynamic reconfiguration

Access to Document

10.1007/3-540-58021-2_5

Franken1994modelling

Cite this

Franken, L. J. N., Pijpers, R. H., & Haverkort, B. R. H. M. (1994). Modelling aspects of model-based dynamic QoS management by the performability manager. In G. Haring, & G. Kotsis (Eds.), Computer Performance Evaluation Modelling Techniques and Tools: 7th International Conference Vienna, Austria, May 3–6, 1994. Proceedings (pp. 89-110). (Lecture Notes in Computer Science; Vol. 794). Springer. https://doi.org/10.1007/3-540-58021-2_5

Franken, Leonard J.N. ; Pijpers, Raymond H. ; Haverkort, Boudewijn R.H.M. / Modelling aspects of model-based dynamic QoS management by the performability manager. Computer Performance Evaluation Modelling Techniques and Tools: 7th International Conference Vienna, Austria, May 3–6, 1994. Proceedings. editor / Günter Haring ; Gabriele Kotsis. Berlin, Heidelberg : Springer, 1994. pp. 89-110 (Lecture Notes in Computer Science).

@inbook{1cc9a44a278643888ac6c56c957fad19,

title = "Modelling aspects of model-based dynamic QoS management by the performability manager",

abstract = "The Performability Manager (PM) is a distributed system component which maintains the application-requested Quality of Service (QoS) by dynamically reconfiguring ANSAware-based distributed applications, using a model-based optimization procedure. The PM receives information about the ANSAware-based application from a distributed monitoring process based on JEWEL and DEMON. With this information, and using predefined stochastic Petri net (SPN) models of ANSAware applications, the PM automatically constructs an overall SPN performability model which is subsequently used for the determination of the provided QoS. Based on the analysis results, the PM can decide to initiate on-line system reconfigurations, if such is needed for maintaining the requested QoS. ANSAware provides facilities for these dynamic reconfigurations.In this paper we focus on the modelling aspects of model-based dynamic QoS management by the performability manager. We present an ANSAware-based experimental distributed environment in which the modelling and evaluation aspects are totally automated. We also show the feasibility of the proposed PM by presenting some operational results.",

keywords = "Turnaround time, System part, Application component, Task component, Dynamic reconfiguration",

author = "Franken, {Leonard J.N.} and Pijpers, {Raymond H.} and Haverkort, {Boudewijn R.H.M.}",

year = "1994",

doi = "10.1007/3-540-58021-2_5",

language = "English",

isbn = "978-3-540-58021-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "89--110",

editor = "G{\"u}nter Haring and Gabriele Kotsis",

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Franken, LJN, Pijpers, RH & Haverkort, BRHM 1994, Modelling aspects of model-based dynamic QoS management by the performability manager. in G Haring & G Kotsis (eds), Computer Performance Evaluation Modelling Techniques and Tools: 7th International Conference Vienna, Austria, May 3–6, 1994. Proceedings. Lecture Notes in Computer Science, vol. 794, Springer, Berlin, Heidelberg, pp. 89-110, 7th International Conference on Computer Performance Evaluation Modelling Techniques and Tools, TOOLS 1994, Vienna, Austria, 4/05/94. https://doi.org/10.1007/3-540-58021-2_5

Modelling aspects of model-based dynamic QoS management by the performability manager. / Franken, Leonard J.N.; Pijpers, Raymond H.; Haverkort, Boudewijn R.H.M.

Computer Performance Evaluation Modelling Techniques and Tools: 7th International Conference Vienna, Austria, May 3–6, 1994. Proceedings. ed. / Günter Haring; Gabriele Kotsis. Berlin, Heidelberg : Springer, 1994. p. 89-110 (Lecture Notes in Computer Science; Vol. 794).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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T1 - Modelling aspects of model-based dynamic QoS management by the performability manager

AU - Franken, Leonard J.N.

AU - Pijpers, Raymond H.

AU - Haverkort, Boudewijn R.H.M.

N1 - Conference code: 7

PY - 1994

Y1 - 1994

N2 - The Performability Manager (PM) is a distributed system component which maintains the application-requested Quality of Service (QoS) by dynamically reconfiguring ANSAware-based distributed applications, using a model-based optimization procedure. The PM receives information about the ANSAware-based application from a distributed monitoring process based on JEWEL and DEMON. With this information, and using predefined stochastic Petri net (SPN) models of ANSAware applications, the PM automatically constructs an overall SPN performability model which is subsequently used for the determination of the provided QoS. Based on the analysis results, the PM can decide to initiate on-line system reconfigurations, if such is needed for maintaining the requested QoS. ANSAware provides facilities for these dynamic reconfigurations.In this paper we focus on the modelling aspects of model-based dynamic QoS management by the performability manager. We present an ANSAware-based experimental distributed environment in which the modelling and evaluation aspects are totally automated. We also show the feasibility of the proposed PM by presenting some operational results.

AB - The Performability Manager (PM) is a distributed system component which maintains the application-requested Quality of Service (QoS) by dynamically reconfiguring ANSAware-based distributed applications, using a model-based optimization procedure. The PM receives information about the ANSAware-based application from a distributed monitoring process based on JEWEL and DEMON. With this information, and using predefined stochastic Petri net (SPN) models of ANSAware applications, the PM automatically constructs an overall SPN performability model which is subsequently used for the determination of the provided QoS. Based on the analysis results, the PM can decide to initiate on-line system reconfigurations, if such is needed for maintaining the requested QoS. ANSAware provides facilities for these dynamic reconfigurations.In this paper we focus on the modelling aspects of model-based dynamic QoS management by the performability manager. We present an ANSAware-based experimental distributed environment in which the modelling and evaluation aspects are totally automated. We also show the feasibility of the proposed PM by presenting some operational results.

KW - Turnaround time

KW - System part

KW - Application component

KW - Task component

KW - Dynamic reconfiguration

U2 - 10.1007/3-540-58021-2_5

DO - 10.1007/3-540-58021-2_5

M3 - Chapter

SN - 978-3-540-58021-8

T3 - Lecture Notes in Computer Science

SP - 89

EP - 110

BT - Computer Performance Evaluation Modelling Techniques and Tools

A2 - Haring, Günter

A2 - Kotsis, Gabriele

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CY - Berlin, Heidelberg

T2 - 7th International Conference on Computer Performance Evaluation Modelling Techniques and Tools, TOOLS 1994

Y2 - 4 May 1994 through 6 May 1994

ER -

Franken LJN, Pijpers RH, Haverkort BRHM. Modelling aspects of model-based dynamic QoS management by the performability manager. In Haring G, Kotsis G, editors, Computer Performance Evaluation Modelling Techniques and Tools: 7th International Conference Vienna, Austria, May 3–6, 1994. Proceedings. Berlin, Heidelberg: Springer. 1994. p. 89-110. (Lecture Notes in Computer Science). doi: 10.1007/3-540-58021-2_5

Modelling aspects of model-based dynamic QoS management by the performability manager

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Keywords

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