Please take note of the following call for papers for a conference associates with UCC 2016. Dear Alan, I will be grateful if you can please help us disseminate the event by sharing this call for papers within your networks and mailing lists. Please also encourage your group members and colleagues to consider submitting papers to BDCAT being held in Shanghai, China in December 2016. Best regards Ashiq Anjum Call for Papers The 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) Date: December 6-9, 2016 Location: Shanghai, China Website: http://computing.derby.ac.uk/bdcat2016/ Important Dates: - Paper Submission Due: 30 July, 2016 --> extended to 31 August, 2016 - Author Notification: 21 August, 2016 - Final Manuscript Due: 21 September, 2016 The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is an annual international conference. The first two events were held in London (BDC 2014) and Cyprus (BDC 2015) respectively. In 2016, the conference has been expanded to explicitly include applications and renamed as BDCAT 2016. The conference aims to provide a platform for researchers to present their new discoveries, developments, results, as well as the latest trends in big data computing, technologies and applications. BDCAT 2016 will be held in conjunction with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) at Tongji University, Shanghai, China. Topics of interest include, but are not limited to: I. Big Data Science Big Data Analytics Innovative Data Science Models and Approaches Data Science Practice and Experience Algorithms for Big Data Novel Big Data Search Techniques Innovative data and Knowledge Engineering approaches Data Mining and Knowledge Discovery Approaches for Big Data Big Data Acquisition, Integration, Cleaning, and Best Practices Experience reports in Solving Large Scale Data Science Problems II. Big Data Infrastructures and Platforms Scalable computing models, theories, and algorithms In-Memory Systems and platforms for Big Data Analytics Programming Systems for Big Data Cyber-Infrastructures for Big Data Performance evaluation reports for Big Data Systems Fault tolerance and reliability of Big Data Systems I/O and Data management Approaches for Big Data Energy-efficient Algorithms Storage Systems (including file systems, NoSQL, and RDBMS) Resource management Approaches for Big Data Systems Many-Task Computing Many-core computing and accelerators III. Big Data Security and Policy Big Data Archival and Preservation Big Data Management Policies Data Privacy Data Security Big Data Provenance Ethical and Anonymization Issues for Big Data Big Data Compliance and Governance Models IV. Big Data Applications Experience Papers with Big Data Application Deployments Big Data Applications for Internet of things Scientific application cases studies on Cloud infrastructures Big Data Applications at Scale Data streaming applications Mobile Applications of Big Data Big Data in Social Networks Healthcare Applications such as Genome processing and analytics Enterprise Applications V. Visualization of Big Data Visual Analytics Algorithms and Foundations Graph and Context Models for Visualization Analytical Reasoning and Sense-making on Big Data Visual Representation and Interaction Big Data Transformation, and Presentation Honorary Chairs Geoffrey Fox, Indiana University, USA Rajkumar Buyya, University of Melbourne, Australia Beng Chin OOI, National University of Singapore, Singapore Programme Committee Chairs Ashiq Anjum, University of Derby, UK (Email: a.anjum@derby.ac.uk<mailto:a.anjum@derby.ac.uk>) Zhao Xinghui, Washington State University, Vancouver, WA, USA Programme Committee Vice Chairs Ilkay Altintas, University of California, San Diego, USA Lei Shu, Guangdong University of Petrochemical Technology, China Guangjie Han, Hohai University, China Zhangbing Zhou, China University of Geosciences, Beijing, China Local Organizing Chair Cheng Wong, Tongji University, China Programme Committee Members <too long> Paper Submission Authors are invited to submit papers electronically. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the following templates (latex, pdf, doc). Authors should submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Papers conforming to the above guidelines can be submitted through the BDCAT 2016 paper submission system (https://easychair.org/conferences/?conf=bdsea2016). Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference PC Chair for more information. Selected papers from BDCAT 2016 will be invited to extend and submit to the Special Issue on Big Data Computing in the IEEE Transaction on Cloud Computing, IEEE Transaction on Big Data and other leading journals.