Cloud service selection based on QoS-aware logistics

  • Wenxue Ran
  • Huijuan LiuEmail author
Methodologies and Application


With the development of technologies such as cloud computing, Big Data, the Internet of Things, etc., Internet + logistics models are being sought by all parties, leading to the current rise of cloud service platforms for logistics. As such platforms combine many logistics services with similar functions, identification of methods to choose from among a large number of similar services to meet the personalized needs of customers has become especially important. In the work presented herein, QoS data are quantified and filtered through the establishment of quality of service (QoS) decision information systems. Meanwhile, using the variable precision rough set method, the weight of each QoS attribute index is calculated, then the similarity of services, to obtain a comprehensive sequence in terms of service quality that provides a basis for selection of the optimal service. The calculation and analysis results show that this method can effectively choose the best logistics service according to specific business needs.


Cloud computing Logistics cloud services QoS Service selection 



Funding was provided by National Natural Science Foundation Council of China (grant no. 71661029), Applied Basic Research Science Foundation of Yunnan Provincial Department of Science and Technology (grant no. 2015FD028), and Science Foundation of Yunnan Provincial Department of Education (grant no. 2015Y269).

Compliance with ethical standards

Conflict of interest

The authors declared that they have no conflicts of interest to this work.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Yunnan University of Finance and EconomicsKunmingChina
  2. 2.School of ManagementHenan Institute of TechnologyXinxiangChina

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