[hpc-announce] CFP: IEEE DSS2016 (Data Science and Systems), Dec. 2016, Sydney, Australia

Jesson Butt jesson.butt at gmail.com
Thu Aug 18 22:33:36 CDT 2016

Call for papers:

The 2016 IEEE International Conference on Data Science and Systems (DSS
2016), 12-14 Dec. 2016, Sydney, Australia.

Website: www.swinflow.org/confs/2016/dss/

Key dates:
Submission Deadline: August 31, 2016 (11:59pm UTC/GMT, firm)
Notification: September 25, 2016
Final Manuscript Due: October 15, 2016

Submission site: http://www.swinflow.org/confs/2016/dss/submission.htm

Proceedings will be published by IEEE CS Press.

Special issues:
Distinguished papers will be selected for special issues in Journal of
Network and Computer Applications, Future Generation Computer Systems,
Journal of Computer and System Sciences, IEEE Transactions on Emerging
Topics in Computing


In parallel with Petrol as a driving resource in this world, Data
is becoming an increasingly decisive resource in modern societies,
economies, and governmental organizations. Gradually and steadily, it is
being world-wide recognised that data and talents are playing key roles in
modern businesses.

As an interdisciplinary area, Data Science draws scientific inquiry from
a broad range of subject areas such as statistics, mathematics,
computer science, machine learning, optimization, signal processing,
information retrieval, databases, cloud computing, computer vision, natural
processing and etc. Data Science is on the essence of deriving
valuable insights from data. It is emerging to meet the challenges of
processing very large datasets, i.e. Big Data, with the explosion of new
data continuously generated from various channels such as smart devices,
web, mobile and social media.

Data systems are posing many challenges in exploiting parallelism of
current and upcoming computer architectures. Data volumes of applications
in the fields of sciences and engineering, finance, media, online
information resources, etc. are expected to double every two years over the
next decade and further. With this continuing data explosion, it is
necessary to store and process data efficiently by utilizing
enormous computing power. The importance of data intensive systems has been
raising and will continue to be the foremost fields of research. This raise
brings up many research issues, in forms of capturing and accessing
data effectively and fast, processing it while still achieving high
performance and high throughput, and storing it efficiently for future use.
Innovative programming models, high performance scalable computing
platforms, efficient storage systems and expression of data requirements
are at immediate need.

DSS (Data Science and Systems) was created to provide a prime international
forum for researchers, industry practitioners and domain experts to
exchange the latest advances in Data Science and Data Systems as well as
their synergy.

Scope and Topics
A. Data Science
Topics of particular interest include, but are not limited to:
• Data sensing, fusion and mining
• Data representation, dimensionality reduction, processing and proactive
service layers
• Stream data processing and integration
• Data analytics and new machine learning theories and models
• Knowledge discovery from multiple information sources
• Statistical, mathematical and probabilistic modeling and theories
• Information visualization and visual data analytics
• Information retrieval and personalized recommendation
• Data provenance and graph analytics
• Parallel and distributed data storage and processing infrastructure
• MapReduce, Hadoop, Spark, scalable computing and storage platforms
• Security, privacy and data integrity in data sharing, publishing and
• Big Data, data science and cloud computing
• Innovative applications in business, finance, industry and government

B. Data Systems
Topics of particular interest include, but are not limited to:
• Data-intensive applications and their challenges
• Scalable computing platform such as Hadoop and Spark
• Storage and file systems
• High performance data access toolkits
• Fault tolerance, reliability, and availability
• Meta-data management
• Remote data access
• Programming models, abstractions for data intensive computing
• Compiler and runtime support
• Data capturing, management, and scheduling techniques
• Future research challenges of data intensive systems
• Performance optimization techniques
• Replication, archiving, preservation strategies
• Real-time data intensive systems
• Network support for data intensive systems
• Challenges and solutions in the era of multi/many-core platforms
• Stream data computing
• Green (Power efficient) data intensive systems
• Security and protection of sensitive data in collaborative environments
• Data intensive computing on accelerators and GPUs
• HPC system architecture, programming models and run-time systems for data
intensive applications
• Productivity tools, performance measuring and benchmark for data
intensive systems
• Big Data, cloud computing and data intensive systems
• Innovative data intensive applications such as big
sensing/surveillance/transport data, big document/accounting data, big
online transaction data analysis and etc.

Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the
corresponding author and should not exceed 8 pages for main conference,
including tables and figures in IEEE CS format. The template files for
LATEX or WORD can be downloaded here. All paper submissions must represent
original and unpublished work. Each submission will be peer reviewed by at
least three program committee members. Submission of a paper should be
regarded as an undertaking that, should the paper be accepted, at least one
of the authors will register for the conference and present the work.
Submit your paper(s) in PDF file at the submission site:

Accepted and presented papers will be included into the IEEE
Conference Proceedings published by IEEE CS Press. Authors of accepted
papers, or at least one of them, are requested to register and present
their work at the conference, otherwise their papers may be removed from
the digital libraries of IEEE CS and EI after the conference.

Distinguished papers will be selected for special issues in Journal of
Network and Computer Applications, Future Generation Computer Systems,
Journal of Computer and System Sciences, IEEE Transactions on Emerging
Topics in Computing

Honorary Chairs
Ramamohanarao Kotagiri, The University of Melbourne, Australia
Jean-Luc Gaudiot, University of California Irvine, USA
Xuemin Lin, University of New South Wales, Australia

General Co-Chairs
Sartaj Sahni, University of Florida, USA
Xindong Wu, University of Vermont, USA
Joe Dong, University of Sydney, Australia

Program Chairs
Jinjun Chen, University of Technology Sydney, Australia
Michael Sheng, The University of Adelaide, Australia
Rajiv Rajan, The University of Newcastle, UK

Program Vice Chairs
Samee U. Khan, North Dakota State University, USA
Vladimir Vlassov, KTH Royal Institute of Technology, Sweden
Jun Wang, University of Central Florida, USA

Workshops Chairs
Guangyan Huang, Deakin University, Australia
William Liu, Auckland University of Technology, New Zealand
Andrew Clashe, UTS, Australia

Steering Committee
Ramamohanarao Kotagiri, The University of Melbourne, Australia
Jian Pei, Simon Fraser University, Canada
Xian-He Sun, Illinois Institute of Technology, USA
Sartaj Sahni, University of Florida, USA
Stan Matwin, Dalhousie University, Canada
Zhaohui Wu, Zhejiang University, China
Manish Parashar, Rutgers University, USA
Albert Zomaya, University of Sydney, Australia
Jinjun Chen, University of Technology Sydney, Australia (Chair)
Laurence T. Yang, St Francis Xavier University, Canada (Chair)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.mcs.anl.gov/mailman/private/hpc-announce/attachments/20160819/206847a4/attachment.html>

More information about the hpc-announce mailing list