Call for Papers

Concurrency and Computation: Practice and Experience (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

The submitted papers must be original and must not be under consideration in any other venue. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The editors will approve final decisions on accepted papers. Manuscripts should not exceed 16 pages in length and must be prepared according to the following journal’s Author Guidelines: http://www.cc-pe.net/journalinfo/authors.html#guidelines. Prospective authors should submit full manuscripts with MS Word format or PDF format.

Full article submission: October 10, 2015
First round notification (minor/major revision): November 30, 2015,
Second round notification (minor/major revision): December 30, 2015,
Final acceptance notification: January 30, 2016

Guest Editors:
Xiangfeng Luo, Shanghai University, China;
Yunhuai Liu, The Third Research Institute of Ministry of Public Security, China;
Qing Li, City University of Hong Kong, Hong Kong.