[hpc-announce] CFP: IEEE DSDIS 2015 (Data Science and Data Intensive Systems), Dec. 2015, Sydney, Australia

[Andrew Clashe]

Call for papers:

The 2015 IEEE International Conference on Data Science and Data Intensive
Systems (DSDIS 2015), 11-13 Dec. 2015, Sydney, Australia.

Website: http://www.swinflow.org/confs/dsdis2015/

Key dates:
Submission Deadline: August 25, 2015 (firm)
Notification: September 25, 2015
Final Manuscript Due: October 15, 2015

Submission site: http://www.swinflow.org/confs/dsdis2015/submission.htm

Publication:
Proceedings will be published by IEEE CS Press.

Special issues:
Distinguished papers will be selected for special issues in Concurrency and
Computation: Practice and Experience; Journal of Network and Computer
Applications, Journal of Computer and System Sciences, and IEEE
Transactions on Big Data.

===========
Introduction

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 language
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 intensive 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.

DSDIS (Data Science and Data Intensive 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
Intensive 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
analysis
• Big Data, data science and cloud computing
• Innovative applications in business, finance, industry and government
cases

B. Data Intensive 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:
http://www.swinflow.org/confs/dsdis2015/submission.htm.

Publications
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 presented at the conference, after further revision,
will be published in special issues of Concurrency and Computation:
Practice and Experience; Journal of Network and Computer Applications,
Journal of Computer and System Sciences, and IEEE Transactions on Big Data.

Honorary Chairs
Ramamohanarao Kotagiri, The University of Melbourne, Australia
Sartaj Sahni, University of Florida, USA
Xuemin Lin, University of New South Wales, Australia

General Chairs
Manish Parashar, Rutgers University, USA
Jian Pei, Simon Fraser University, Canada
Albert Zomaya, University of Sydney, Australia

General Co-Chairs
Xian-He Sun, Illinois Institute of Technology, USA
Geoffrey Fox, Indiana University, USA
Yun Yang, Swinburne University of Technology, Australia

Program Chairs
Jinjun Chen, University of Technology Sydney, Australia
Rui Zhang, The University of Melbourne, Australia
Samee U. Khan, North Dakota State University, USA

Program Vice Chairs
Vladimir Vlassov, KTH Royal Institute of Technology, Sweden
Yong Chen, Texas Tech University, USA
Jing He, Victoria University, Australia

Workshops Chairs
Guangyan Huang Deakin University, Australia
Raymond Choo, The University of South Australia, 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
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)
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