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Queuing-based Capacity Planning Approach for Web Service Workflows Using Optimization Algorithms

Eckert, Julian ; Schulte, Stefan ; Repp, Nicolas ; Berbner, R. ; Steinmetz, Ralf (2008)
Queuing-based Capacity Planning Approach for Web Service Workflows Using Optimization Algorithms.
2nd IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2008). Phitsanuloke, Thailand (26.02.2008-29.02.2008)
doi: 10.1109/DEST.2008.4635152
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

One major challenge for service-oriented workflows in digital ecosystems is capacity planning for cross-organizational Web service workflows in order to avoid performance degradation. In order to analyze the execution capacity of Web service workflows and to plan the workflow control, queuing theory can be used to describe the average performance behavior of a workflow. By addressing capacity planning of Web service workflows, resource usage becomes more and more important. Capacity planning and performance measurement are crucial to ensure that the workflow execution remains feasible and SLA violations due to overload are avoided. Thus, this paper presents a capacity planning approach for Web service workflows based on queuing theory to support capacity planning decisions. Further we describe an optimization algorithm how to achieve an optimal utilization of the invoked Web services at minimal costs.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2008
Autor(en): Eckert, Julian ; Schulte, Stefan ; Repp, Nicolas ; Berbner, R. ; Steinmetz, Ralf
Art des Eintrags: Bibliographie
Titel: Queuing-based Capacity Planning Approach for Web Service Workflows Using Optimization Algorithms
Sprache: Englisch
Publikationsjahr: 2008
Ort: Piscataway
Verlag: IEEE
Buchtitel: 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies
Veranstaltungstitel: 2nd IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2008)
Veranstaltungsort: Phitsanuloke, Thailand
Veranstaltungsdatum: 26.02.2008-29.02.2008
DOI: 10.1109/DEST.2008.4635152
Kurzbeschreibung (Abstract):

One major challenge for service-oriented workflows in digital ecosystems is capacity planning for cross-organizational Web service workflows in order to avoid performance degradation. In order to analyze the execution capacity of Web service workflows and to plan the workflow control, queuing theory can be used to describe the average performance behavior of a workflow. By addressing capacity planning of Web service workflows, resource usage becomes more and more important. Capacity planning and performance measurement are crucial to ensure that the workflow execution remains feasible and SLA violations due to overload are avoided. Thus, this paper presents a capacity planning approach for Web service workflows based on queuing theory to support capacity planning decisions. Further we describe an optimization algorithm how to achieve an optimal utilization of the invoked Web services at minimal costs.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation
20 Fachbereich Informatik
Hinterlegungsdatum: 20 Nov 2008 08:25
Letzte Änderung: 28 Nov 2024 11:08
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