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    IWBDS 2016 - International Workshop on Big Data of Services

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    Website http://yuleiimu.blog.sohu.com/322049582.html | Want to Edit it Edit Freely

    Category service computing; data mining

    Deadline: July 30, 2016 | Date: December 06, 2016-December 09, 2016

    Venue/Country: Shanghai, China, China

    Updated: 2016-06-08 17:22:22 (GMT+9)

    Call For Papers - CFP

    International Workshop on Big Data of Services

    Collocated with 9th IEEE/ACM International Conference on Utility and Cloud Computing

    December 6-9, 2016

    Tongji University – Shanghai, China

    Call for papers

    With the popularity of mobile terminals, user social networks and large-scale services, a large amount of data is produced, such as trace logs, service QoS information and service invocation relationships, etc. The data produced by services usually has the characteristics of big data: high volume, high velocity and high variety. Data generated by services is so large and complex that traditional methods are difficult to handle it effectively. Therefore, to deal with the big data problem for services, new parallel computing techniques and new data mining algorithms are urgently required. The submitted manuscripts will be limited to 6 pages (IEEE Proceedings style: http://www.ieee.org/conferences_events/conferences/publishing/templates.html). Please use https://easychair.org/conferences/?conf=iwbds2016 to submit your papers.

    The IWBDS will be held in conjunction with IEEE/ACM UCC in Shanghai, China in December, 2016 (http://computing.derby.ac.uk/ucc2016/). It provides a forum for researchers world-wide to present their latest work in service computing, data mining and parallel computing in the cloud, and to show how this research can be used to enable innovation.

    Topics

    We encourage submissions on theoretical as well as practical studies related to all aspects of services computing and big data. Topics of interests include, but are NOT limited to, the following categories:

    • Service applications in the big data environment.

    • Service clustering and recommendation in the big data environment.

    • Service analysis in the big data environment.

    • Experimental prototypes, testbeds, and case studies on big data services and applications.

    • Big data service management

    • Data processing, mining, fusion, storage, and management for big data services

    • Big data analytics for services

    • Social issues, user experience of big data services

    • Parallel computing for big data services

    • Quality of service in big data environment

    Important dates

    Paper Submissions Due: July 30, 2016

    Notification of Acceptance: August 30, 2016

    Early Registration Deadline: September 21, 2016

    Organising committees

    General chairs

    Philip S. Yu, University of Illinois at Chicago, USA

    Yu Lei, Inner Mongolia University, China

    Technical program committee

    Deng ShuiGuang, Zhejiang University, China

    Wu Jian, Zhejiang University, China

    Ma Yutao, Wuhan University, China

    Wang Jian, Wuhan University, China

    Lu Zhihui, Fudan University, China

    Jiwei Huang, Beijing University of Posts and Telecommunications, China

    Qiao Xiuquan, Beijing University of Posts and Telecommunications, China

    Cheng Bo, Beijing University of Posts and Telecommunications, China

    Mingdong Tang, Hunan University of Science and Technology, China

    Zhangbing Zhou, China University of Geosciences (Beijing), China

    Yi-Wen Zhang, Anhui University, China

    Tan Wei, Dongguan University of Technology, China

    Bo Hu, Kingdee International Software Group Co.Ltd. China

    Huang Keman, Tianjin University, China.

    Fan Xiaoliang, Lanzhou University, China.

    Chen Shizhan, Tianjin University, China.

    Duan YuCong, Hainan University, China

    Chen Fu, Beijing Foreign Studies University, China


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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