IWBDS 2016 - International Workshop on Big Data of Services
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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 ServicesCollocated with 9th IEEE/ACM International Conference on Utility and Cloud ComputingDecember 6-9, 2016Tongji University – Shanghai, ChinaCall for papersWith 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.TopicsWe 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 environmentImportant datesPaper Submissions Due: July 30, 2016Notification of Acceptance: August 30, 2016Early Registration Deadline: September 21, 2016Organising committeesGeneral chairsPhilip S. Yu, University of Illinois at Chicago, USAYu Lei, Inner Mongolia University, ChinaTechnical program committeeDeng ShuiGuang, Zhejiang University, ChinaWu Jian, Zhejiang University, ChinaMa Yutao, Wuhan University, ChinaWang Jian, Wuhan University, ChinaLu Zhihui, Fudan University, ChinaJiwei Huang, Beijing University of Posts and Telecommunications, ChinaQiao Xiuquan, Beijing University of Posts and Telecommunications, ChinaCheng Bo, Beijing University of Posts and Telecommunications, ChinaMingdong Tang, Hunan University of Science and Technology, ChinaZhangbing Zhou, China University of Geosciences (Beijing), ChinaYi-Wen Zhang, Anhui University, ChinaTan Wei, Dongguan University of Technology, ChinaBo Hu, Kingdee International Software Group Co.Ltd. ChinaHuang Keman, Tianjin University, China.Fan Xiaoliang, Lanzhou University, China.Chen Shizhan, Tianjin University, China.Duan YuCong, Hainan University, ChinaChen 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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