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IWBDS 2016 : International Workshop on Big Data of Services | |||||||||||||||
Link: http://yuleiimu.blog.sohu.com/322049582.html | |||||||||||||||
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Call For Papers | |||||||||||||||
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 |
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