Journal of Computer Science and Technology ›› 2018, Vol. 33 ›› Issue (6): 1152-1163.doi: 10.1007/s11390-018-1878-4

• Computer Networks and Distributed Computing • Previous Articles     Next Articles

More Requests, Less Cost: Uncertain Inter-Datacenter Traffic Transmission with Multi-Tier Pricing

Xiao-Dong Dong1, Student Member, CCF, Sheng Chen1, Student Member, CCF, Lai-Ping Zhao1, Member, CCF, IEEE, Xiao-Bo Zhou1,*, Member, CCF, IEEE, Heng Qi2, Member, CCF, IEEE Ke-Qiu Li1, Senior Member, CCF, IEEE   

  1. 1. Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University Tianjin 300350, China;
    2. School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China
  • Received:2017-09-13 Revised:2018-09-23 Online:2018-11-15 Published:2018-11-15
  • Contact: Xiao-Bo Zhou,
  • About author:Xiao-Dong Dong received his Bachelor's degree in computer science and technology in 2013 and his Master's degree in computer software and theory in 2016, both from Northwestern Polytechnical University, Xi'an. He is a Ph.D. candidate at the College of Intelligence and Computing, Tianjin University, Tianjin. His research interests include computer network, future Internet and software-defined networking.
  • Supported by:
    This work is partially supported by the National Key Research and Development Program of China under Grant No. 2016YFB1000205, the State Key Program of National Natural Science Foundation of China under Grant No. 61432002, the National Natural Science Foundation of China-Guangdong Joint Fund under Grant No. U1701263, the National Natural Science Foundation of China under Grant Nos. 61702365, 61672379, and 61772112, the Natural Science Foundation of Tianjin under Grant Nos. 17JCQNJC00700 and 17JCYBJC15500, and the Special Program of Artificial Intelligence of Tianjin Municipal Science and Technology Commission under Grant No. 17ZXRGGX00150.

With the multi-tier pricing scheme provided by most of the cloud service providers (CSPs), the cloud users typically select a high enough transmission service level to ensure the quality of service (QoS), due to the severe penalty of missing the transmission deadline. This leads to the so-called over-provisioning problem, which increases the transmission cost of the cloud user. Given the fact that cloud users may not be aware of their traffic demand before accessing the network, the over-provisioning problem becomes more serious. In this paper, we investigate how to reduce the transmission cost from the perspective of cloud users, especially when they are not aware of their traffic demand before the transmission deadline. The key idea is to split a long-term transmission request into several short ones. By selecting the most suitable transmission service level for each short-term request, a cost-efficient inter-datacenter transmission service level selection framework is obtained. We further formulate the transmission service level selection problem as a linear programming problem and resolve it in an on-line style with Lyapunov optimization. We evaluate the proposed approach with real traffic data. The experimental results show that our method can reduce the transmission cost by up to 65.04%.

Key words: traffic uncertainty; inter-datacenter transmission; multi-tier pricing scheme;

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