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BDTA 2015 : Special Issue on Computer Systems Science and Engineering (SCI Index) | |||||||||||||
Link: http://iic.shu.edu.cn/huiyi/SI-Xu-BDTA.html | |||||||||||||
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Call For Papers | |||||||||||||
Call for Papers
Computer Systems Science and Engineering (SCI Index) Special Issue on Big Data related Technologies and Applications With the advances of information communication technologies, it is critical to improve the efficiency and accuracy of modern data processing techniques. The past decade has witnessed the tremendous technical advances in Sensor Networks, Internet/Web of Things, Cloud Computing, Mobile/Embedded Computing, Spatial/Temporal Data Processing, and Big Data, and these technologies have provided new opportunities and solutions to data processing techniques. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data and content, to make business more agile, and to answer questions that were previously considered beyond our reach. This special issue wants to demonstrate the emerging issues in the research of Big Data and approaches towards it. Original and research articles are solicited in all aspects including theoretical studies, practical applications, and experimental prototypes. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue. Potential topics include, but are not limited to: * Big data novel theory, algorithm and applications * Big data standards * Big data mining and analytics * Big data Infrastructure, MapReduce and Cloud Computing * Big data visualization * Big data semantics, scientific discovery and intelligence * Big data performance analysis and large-scale deployment * Security, privacy, trust, and legal issues to big data * Big data placement, scheduling, and optimization * Volume, velocity, variety, value and veracity of big data * Storage and computation management of big data * Large-scale big data workflow management * Mobility and big data * Sensor network, social network and big data Before submission authors should carefully read over the journal’s Authors Guidelines, Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at according to the following timetable: Manuscript Due: April 01, 2015 First Round of Reviews: May 01, 2015 Second Round of Reviews:June 01, 2015 Publication Date:2015 Guest Editors: Zheng Xu, Tsinghua University & The Third Research Institute of Ministry of Public Security, China; Yunhuai Liu, The Third Research Institute of Ministry of Public Security, China; Xiangfeng Luo, Shanghai University, China; Qing Li, City University of Hong Kong, Hong Kong. For enquiries, please contact xuzheng@shu.edu.cn. |
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