FOLLOWUS
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
[ "Yao XIA, E-mail: xiayao@nuaa.edu.cn" ]
Zhiqiu HUANG, E-mail: zqhuang@nuaa.edu.cn
纸质出版日期:2021-02,
收稿日期:2019-12-23,
修回日期:2020-12-11,
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夏瑶, 黄志球. 考虑用户偏好的服务组合防策略拍卖机制[J]. 信息与电子工程前沿(英文), 2021,22(2):185-201.
YAO XIA, ZHIQIU HUANG. A strategy-proof auction mechanism for service composition based on user preferences. [J]. Frontiers of information technology & electronic engineering, 2021, 22(2): 185-201.
夏瑶, 黄志球. 考虑用户偏好的服务组合防策略拍卖机制[J]. 信息与电子工程前沿(英文), 2021,22(2):185-201. DOI: 10.1631/FITEE.1900726.
YAO XIA, ZHIQIU HUANG. A strategy-proof auction mechanism for service composition based on user preferences. [J]. Frontiers of information technology & electronic engineering, 2021, 22(2): 185-201. DOI: 10.1631/FITEE.1900726.
服务组合是一种基于服务成本和服务质量(QoS)将现有原子服务组合为增值服务的有效方法。为满足用户的多样化需求,提供基于QoS的定价服务,提出一种基于用户偏好的服务组合拍卖机制,该机制具有防策略性,有利于根据用户偏好选择服务,动态确定服务价格。本文证明,所提出的拍卖机制达到了期望的性质,包括真实性和个体合理性。此外,提出一种拍卖算法来实现拍卖机制,并在真实数据基础上进行大量实验。结果表明,所提出的拍卖机制不仅达到预期效果,而且帮助用户找到满意的服务组合方案。
Service composition is an effective method of combining existing atomic services into a value-added service based on cost and quality of service (QoS). To meet the diverse needs of users and to offer pricing services based on QoS
we propose a service composition auction mechanism based on user preferences
which is strategy-proof and can be beneficial in selecting services based on user preferences and dynamically determining the price of services. We have proven that the proposed auction mechanism achieves desirable properties including truthfulness and individual rationality. Furthermore
we propose an auction algorithm to implement the auction mechanism
and carry out extensive experiments based on real data. The results verify that the proposed auction mechanism not only achieves desirable properties
but also helps users find a satisfactory service composition scheme.
组合逆向拍卖服务组合用户偏好防策略性动态定价
Combinatorial reverse auctionService compositionUser preferenceStrategy-proofDynamic pricing
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