Final Call for Poster and Demo:
The 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS 2015), 11-13 Dec. 2015, Sydney, Australia.
Website: http://www.swinflow.
Key dates:
Deadline for proceedings published posters/demos: 3 October 2015
Notification of Acceptance: 7 October 2015
Final versions of proceeding published posters/demos: 15 October 2015
Submission
Please email your posters/demos to confs.aus@gmail.com with the email subject as "DSDIS 2015 poster demo submission".
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 Internet of Things or related 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.
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Introduction
Participants are invited to submit posters and research demos to the conference. DSDIS 2015 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 Internet of Things 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 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.
Chairs:The 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS 2015), 11-13 Dec. 2015, Sydney, Australia.
Website: http://www.swinflow.
Key dates:
Deadline for proceedings published posters/demos: 3 October 2015
Notification of Acceptance: 7 October 2015
Final versions of proceeding published posters/demos: 15 October 2015
Submission
Please email your posters/demos to confs.aus@gmail.com with the email subject as "DSDIS 2015 poster demo submission".
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 Internet of Things or related 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.
===========
Introduction
Participants are invited to submit posters and research demos to the conference. DSDIS 2015 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 Internet of Things 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 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.
Deepak Puthal, University of Technology Sydney, Australia
Rajiv Ranjan, CSIRO, Australia
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