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    宁兆龙

    • 副教授     硕士生导师
    • 主要任职:无
    • 性别:男
    • 毕业院校:东北大学
    • 学位:博士
    • 在职信息:在职
    • 所在单位:软件学院
    • 学科:软件工程 通信与信息系统
    • 联系方式:zhaolongning@dlut.edu.cn
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    Quick Answer for Big Data in Sharing Economy Innovative Computer Architecture Design Facilitating Optimal Service-Demand Matching

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    论文类型:期刊论文

    第一作者:Guo, Lei

    合写作者:Ning, Zhaolong,Hou, Weigang,Hu, Bin,Guo, Pengxing

    发表时间:2018-10-01

    发表刊物:IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

    收录刊物:ESI高被引论文、SCIE

    卷号:15

    期号:4

    页面范围:1494-1506

    ISSN号:1545-5955

    关键字:Computer architecture design; optical network-on-chip (ONoC); service-demand matching; sharing economy

    摘要:In sharing economy, people offer idle social resources to others in a sharing manner. Through community-based online platforms, the people offering services can earn commission while others can enjoy a better life via renting social resources. Consequently, the value-in-use of services is expectedly strengthened within the unit time, although the total amount of social resources remains constant. Influenced by sharing economy, some famous companies have developed intelligent systems to analyze the most appropriate coincidence between citizens' idle supply and renting demand from numerous data sets. However, the big data analysis of the optimal service-demand matching usually runs on the traditional multiprocessors equipped in intelligent systems, so-called "system-on-chip." In this paper, we design a novel computer architecture-the accelerator based on optical network-on-chip (ONoC)-to further speed up the matching between citizens' offer and demand in sharing economy. Our ONoC-based accelerator is able to quickly calculate the optimal service-demand matching by processing computation tasks on parallel cores, i.e., task-core mapping. In addition, to improve the accelerator reliability, the assorted task-core mapping algorithm is also designed. The extensive simulation results based on real trace file demonstrate the effectiveness of our system and algorithm.