Optimizing service systems based on application-level QoS

Making software systems service-oriented is becoming the practice, and an increasingly large number of service systems play important roles in today's business and industry. Currently, not enough attention has been paid to the issue of optimization of service systems. In this paper, we argue th...

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Main Authors: LIANG, Qianhui, WU, Xindong, LAU, Hoong Chuin
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Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/774
https://ink.library.smu.edu.sg/context/sis_research/article/1773/viewcontent/IEEE_Tran_Service_Computing_2009___Optimizing_QoS.pdf
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spelling sg-smu-ink.sis_research-17732016-12-13T07:25:22Z Optimizing service systems based on application-level QoS LIANG, Qianhui WU, Xindong LAU, Hoong Chuin Making software systems service-oriented is becoming the practice, and an increasingly large number of service systems play important roles in today's business and industry. Currently, not enough attention has been paid to the issue of optimization of service systems. In this paper, we argue that the key elements to be considered in optimizing service systems are robustness, system orientation, and being dynamic and transparent. We present our solution to optimizing service systems based on application-level QoS management. Our solution incorporates three capabilities, i.e., 1) the ability to cater to the varying rigidities on Web service QoS in distinct application domains and of various users in a robust and heuristic manner, 2) the ability to formulate the overall system utility of a service system perceived by a particular system end user and to suggest its maximization using a utility model incorporated into a three-dimensional weighting scheme, and 3) the ability to dynamically achieve a higher perceived system utility of a service system via transparent negotiations. The calculation of the system utility encompasses a negotiation algorithm and a robust search algorithm for selecting heuristically best Web services. The effectiveness of the proposed algorithms and our solution is demonstrated by simulation experiments and our demo deployment, SSO. 2009-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/774 info:doi/10.1109/TSC.2009.13 https://ink.library.smu.edu.sg/context/sis_research/article/1773/viewcontent/IEEE_Tran_Service_Computing_2009___Optimizing_QoS.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Optimization of services systems quality of services service selection composite services system utility negotiation robust. Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Optimization of services systems
quality of services
service selection
composite services
system utility
negotiation
robust.
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle Optimization of services systems
quality of services
service selection
composite services
system utility
negotiation
robust.
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
LIANG, Qianhui
WU, Xindong
LAU, Hoong Chuin
Optimizing service systems based on application-level QoS
description Making software systems service-oriented is becoming the practice, and an increasingly large number of service systems play important roles in today's business and industry. Currently, not enough attention has been paid to the issue of optimization of service systems. In this paper, we argue that the key elements to be considered in optimizing service systems are robustness, system orientation, and being dynamic and transparent. We present our solution to optimizing service systems based on application-level QoS management. Our solution incorporates three capabilities, i.e., 1) the ability to cater to the varying rigidities on Web service QoS in distinct application domains and of various users in a robust and heuristic manner, 2) the ability to formulate the overall system utility of a service system perceived by a particular system end user and to suggest its maximization using a utility model incorporated into a three-dimensional weighting scheme, and 3) the ability to dynamically achieve a higher perceived system utility of a service system via transparent negotiations. The calculation of the system utility encompasses a negotiation algorithm and a robust search algorithm for selecting heuristically best Web services. The effectiveness of the proposed algorithms and our solution is demonstrated by simulation experiments and our demo deployment, SSO.
format text
author LIANG, Qianhui
WU, Xindong
LAU, Hoong Chuin
author_facet LIANG, Qianhui
WU, Xindong
LAU, Hoong Chuin
author_sort LIANG, Qianhui
title Optimizing service systems based on application-level QoS
title_short Optimizing service systems based on application-level QoS
title_full Optimizing service systems based on application-level QoS
title_fullStr Optimizing service systems based on application-level QoS
title_full_unstemmed Optimizing service systems based on application-level QoS
title_sort optimizing service systems based on application-level qos
publisher Institutional Knowledge at Singapore Management University
publishDate 2009
url https://ink.library.smu.edu.sg/sis_research/774
https://ink.library.smu.edu.sg/context/sis_research/article/1773/viewcontent/IEEE_Tran_Service_Computing_2009___Optimizing_QoS.pdf
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