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Bigdata 2016 - Special Issue on “Cloud Computing and Big Data: Applications, Systems and Perspective”

Date2016-08-31

Deadline2016-03-05

VenueOnline, Online Online

Keywords

Websitehttp://link.springer.com/journal/11227

Topics/Call fo Papers

Analysis of big data through sophisticated algorithms and the computing infrastructure made available through cloud computing is transforming information technology today. On one hand, many novel applications are emerging in this area to effectively utilize massive and complex data, and to unlock their value. On the other hand, cloud and big data applications drive the evolution of computing systems, exploiting parallelism of current and upcoming computer architectures, programming models and data-driven methodology, as well as engineering issues for implementation and deployment of various big data and/or cloud computing systems. Currently, big data and cloud computing are emerging research fields that have recently drawn much attention and interest from the broad computing disciplines as well as from other application areas. With these recent developments, industry and academia are already looking into the next-generation of big data and cloud computing techniques. This special issue is intended to foster state-of-the-art research in the area of big data and cloud computing technologies including the topics of novel applications and systems, as well as perspectives on thefuture of big data and cloud computing.
This special issue welcomes submissions of papers that describe original research on advancement of big data and cloud computing, including, but not limiting to:
- Interplay between cloud computing and big data
- Perspectives on next-generation cloud computing and big data systems and applications (e.g., Cloud 2.0)
- Software, tools and systems for big data and cloud computing
- Algorithmic, experimental, prototyping and implementation
- Data-driven innovation, computational modeling and data integration
- Computing, scheduling and resource management for cloud computing
- Machine learning algorithms for big data and cloud computing
- Cloud infrastructures and systems for big data
- Performance measurement, analytical modeling and simulation
- Big data and cloud computing applications (healthcare, medicine, finance, business, law, education, transportation, telecommunication, science, engineering, ecosystem, etc.)
# Instructions for Manuscripts
This special issue will be primarily based on IEEE International Conference on Cloud Computing Technology & Science 2015 (IEEE CloudCom 2015). Yet, submissions from other authors are also welcome. Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. Authors must adhere to the Journal of Supercomputing submission guidelines. Manuscripts should not exceed 16 pages in length and must be prepared according to the following journal’s Author Guidelines: http://www.springer.com/computer/swe/journal/11227....
# Instructions for Submissions
Prospective authors should submit full manuscripts with MS Word format or PDF format. The website for submission is https://www.editorialmanager.com/supe/default.aspx. Please choose "S.I. : Clouds and BD: AP & SYS".
# Important Dates
Manuscript submission deadline: March 5, 2016
Notification of Acceptance/Rejection/Revision: April 31, 2016
Final Manuscript Due: August 31, 2016
# Guest Editors
Prof. Bingsheng He, School of Computer Engineering, Nanyang Technological University, Singapore Email: bshe-AT-ntu.edu.sg
Prof. Sathish Gopalakrishnan, Department of Electrical and Computer Engineering, The University of British Columbia, Canada Email: sathish-AT-ece.ubc.ca
Prof. Victor C. M. Leung, Department of Electrical and Computer Engineering, The University of British Columbia, Canada Email: vleung-AT-ece.ubc.ca
Prof. Albert Y. Zomaya, School of Information Technologies, The University of Sydney, Australia Email: albert.zomaya-AT-sydney.edu.au

Last modified: 2016-03-05 11:17:06