Business process composition with QoS optimization

Jing Zhang; Weiran Nie; Mark Panahi; Yichin Chang; Kwei Jay Lin

doi:10.1109/CEC.2009.81

Business process composition with QoS optimization

Jing Zhang^*, Weiran Nie, Mark Panahi, Yichin Chang, Kwei Jay Lin

^*Corresponding author for this work

University of California at Irvine

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

1 Scopus citations

Abstract

One of the challenges in SOA is to provide an efficient and effective way to identify compatible Web service(s) and compose them into a service process that satisfies a user's functional and non-functional needs. Quality of Service (QoS), like response time or throughput, might need to be optimized for the selected service process. This paper describes a system architecture and strategies Web services composition with QoS optimization. The strategies include a uniform cost backward search for optimizing response time and an improved greedy search for optimizing throughput.

Original language	English
Title of host publication	2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009
Pages	499-502
Number of pages	4
DOIs	https://doi.org/10.1109/CEC.2009.81
State	Published - 2009
Externally published	Yes
Event	2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009 - Vienna, Austria Duration: 20 07 2000 → 23 07 2009

Publication series

Name	2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009

Conference

Conference	2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009
Country/Territory	Austria
City	Vienna
Period	20/07/00 → 23/07/09

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10.1109/CEC.2009.81

Cite this

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title = "Business process composition with QoS optimization",

abstract = "One of the challenges in SOA is to provide an efficient and effective way to identify compatible Web service(s) and compose them into a service process that satisfies a user's functional and non-functional needs. Quality of Service (QoS), like response time or throughput, might need to be optimized for the selected service process. This paper describes a system architecture and strategies Web services composition with QoS optimization. The strategies include a uniform cost backward search for optimizing response time and an improved greedy search for optimizing throughput.",

author = "Jing Zhang and Weiran Nie and Mark Panahi and Yichin Chang and Lin, {Kwei Jay}",

year = "2009",

doi = "10.1109/CEC.2009.81",

language = "英语",

isbn = "9780769537559",

series = "2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009",

pages = "499--502",

booktitle = "2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009",

note = "2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009 ; Conference date: 20-07-2000 Through 23-07-2009",

}

Zhang, J, Nie, W, Panahi, M, Chang, Y & Lin, KJ 2009, Business process composition with QoS optimization. in 2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009., 5210752, 2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009, pp. 499-502, 2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009, Vienna, Austria, 20/07/00. https://doi.org/10.1109/CEC.2009.81

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T1 - Business process composition with QoS optimization

AU - Zhang, Jing

AU - Nie, Weiran

AU - Panahi, Mark

AU - Chang, Yichin

AU - Lin, Kwei Jay

PY - 2009

Y1 - 2009

N2 - One of the challenges in SOA is to provide an efficient and effective way to identify compatible Web service(s) and compose them into a service process that satisfies a user's functional and non-functional needs. Quality of Service (QoS), like response time or throughput, might need to be optimized for the selected service process. This paper describes a system architecture and strategies Web services composition with QoS optimization. The strategies include a uniform cost backward search for optimizing response time and an improved greedy search for optimizing throughput.

AB - One of the challenges in SOA is to provide an efficient and effective way to identify compatible Web service(s) and compose them into a service process that satisfies a user's functional and non-functional needs. Quality of Service (QoS), like response time or throughput, might need to be optimized for the selected service process. This paper describes a system architecture and strategies Web services composition with QoS optimization. The strategies include a uniform cost backward search for optimizing response time and an improved greedy search for optimizing throughput.

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U2 - 10.1109/CEC.2009.81

DO - 10.1109/CEC.2009.81

M3 - 会议稿件

AN - SCOPUS:70449416137

SN - 9780769537559

T3 - 2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009

SP - 499

EP - 502

BT - 2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009

T2 - 2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009

Y2 - 20 July 2000 through 23 July 2009

ER -

Business process composition with QoS optimization

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