Participants are invited to submit
posters and research demos to DSS 2016.
DSS 2016 (Data Science and
Systems)
is created to provide a prime international forum for both researchers,
industry practitioners and environment experts to exchange the latest
fundamental advances in the state of the art and practice of
Data Science and Systems as well as joint-venture and synergic
research and development across various related areas. Topics of interest for
posters and demos include, but not limited to:
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 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, Privacy and Trust in
Data
• 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 Health, Energy, Cybersecurity, Transport, Food,
Soil and Water, Resources, Advanced Manufacturing, Environmental Change,
and etc.
Two types of posters and demos:
1. Proceedings published posters
and demos: Submission is a 2-page short paper describing the post/demo
content, research, relevance and importance to above
topics. If accepted, the 2-page short paper will be published in the
main conference proceedings together with regular research papers. Each
accepted poster or demo must register to the main conference with full
registration.
2. Web published posters and
demos: Submission is a 1-page extended abstract. Such posters/demos will
not be included in the conference proceedings, but will be published on
the conference website.
Both types of posters/demos will
be displayed during the conference.
Submissions:
Please email your posters/demos to
confs.aus@gmail.com with the email subject
as "DSS 2016 poster demo submission".
Chairs:
Mianxiong Dong,
Muroran Institute of Technology, Japan
William Liu, Auckland
University of Technology, New Zealand
Important Dates:
Deadline for proceedings published
posters/demos: 1
October 2016(11:59pm HST)
Notification of Acceptance:
7
October 2016
Final versions of proceeding
published posters/demos: 15 October 2016
Deadline for web published
posters/demos: 30 October 2016