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User-preferences based service selection model in large-scale services with various QoS properties

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With the rapid growth of service scale,there are many services with the same functional properties but different non-functionai properties on the Internet.There have been some global optimizing service selection algorithms for service selection.However,most of those approaches cannot fully reflect users' preferences or are not fully suitable for large-scale services selection.In this paper,an ant colony optimization(ACO)algorithm for the model of global optimizing service selection with various quality of srevice(QoS)properties is employed,and a user-preference based large-scale service selection algorithm is proposed.This algorithm aims at optimizing user-preferred QoS properties and selecting services that meet all user-defined QoS thresholds.Experiment results prove that this algorithm is very efficient in this regard.

service selectionquilty of service(QoS)ant colony optimization(ACO)

LIU Hui、XU Dong、XU De-zhen、LEI Zhou、ZHANG Long

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School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China

High Performance Computing Center, Shanghai University, Shanghai 200072, P.R.China

Lenovo Mobile Communication Technology Limited, Beijing 100085, P.R.China

Shanghai Leading Academic Discipline ProjectNatural Science Foundation of Shanghai MunicipalityInnovation Program of Education Commission of Shanghai MunicipalityNew Generation Broadband Wireless Mobile Communication Network Key Technologies Research and Development Program of China 20

J5010310ZR141160010TX18

2011

10.1007/s11741-011-0762-2

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2011.15(5)
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