Reliable and efficient big service selection

被引:8
作者
Huang, Ling [1 ]
Zhao, Qinglin [2 ]
Li, Yan [3 ]
Wang, Shangguang [1 ]
Sun, Lei [1 ]
Chou, Wu [4 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
[2] Macau Univ Sci & Technol, Fac Informat Technol, Ave Wei Long, Taipa, Macau, Peoples R China
[3] Shanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R China
[4] Huawei Technol Co Ltd, Shenzhen, Peoples R China
关键词
Service computing; Big service; Service selection; QoS;
D O I
10.1007/s10796-017-9767-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Big services, both virtual (e.g., cloud services) and physical (e.g., public transportation), are evolving rapidly to handle and deal with big data. By aggregating services from various domains, big services adopt selection schemes to produce composite service solutions that meet customer requirements. However, unlike traditional service selection, a huge number of big services require some lengthy selection processes to improve the service reliability. In this paper, we propose an efficient big service selection approach based on the coefficient of variation and mixed integer programming that improves the solution in two senses: 1) minimizing the time cost and 2) maximizing the reliability. We tested our approach on real-world datasets, and the experimental results indicated that our approach is superior to others.
引用
收藏
页码:1273 / 1282
页数:10
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