TY - GEN
T1 - An Optimal Service-Selection Model Based on Capability and Quality of Resource Service
AU - Zhang, Xiaodong
AU - Dechen, Zhan
AU - Nie, Lanshun
AU - Zhao, Tianqi
AU - Xiong, Xiao
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/10/28
Y1 - 2015/10/28
N2 - Most of the researches on optimal service selection are based on the assumption that the capabilities of the services fully meet the requirements. Their limitation is the ignorance of the resources which is the basic factor supporting the implementation of services and it may cause a waste of resources. In cloud computing environment which benefits from its large-scale, there are a large number of resources. Therefore, the waste of resources in it would be a big problem. This paper introduces 'service equivalent' as the basic metric to measure the capabilities of service resources and proposes an optimal service selection model based on capability and quality of service resources and algorithm, in order to solve the issues about the matching capability of service resource and the optimal selection of service resource based on quality. Finally it proves that the model can effectively reduce the waste of resources by the test, which achieves the expected goal.
AB - Most of the researches on optimal service selection are based on the assumption that the capabilities of the services fully meet the requirements. Their limitation is the ignorance of the resources which is the basic factor supporting the implementation of services and it may cause a waste of resources. In cloud computing environment which benefits from its large-scale, there are a large number of resources. Therefore, the waste of resources in it would be a big problem. This paper introduces 'service equivalent' as the basic metric to measure the capabilities of service resources and proposes an optimal service selection model based on capability and quality of service resources and algorithm, in order to solve the issues about the matching capability of service resource and the optimal selection of service resource based on quality. Finally it proves that the model can effectively reduce the waste of resources by the test, which achieves the expected goal.
KW - QoS model
KW - service capability matching
KW - service capability model
KW - service equivalent
UR - https://www.scopus.com/pages/publications/84959268518
U2 - 10.1109/ICSS.2014.39
DO - 10.1109/ICSS.2014.39
M3 - 会议稿件
AN - SCOPUS:84959268518
T3 - Proceedings of International Conference on Service Science, ICSS
SP - 47
EP - 52
BT - Proceedings - 2014 International Conference on Service Sciences, ICSS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Service Sciences, ICSS 2014
Y2 - 22 May 2014 through 23 May 2014
ER -