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Home Organisation Committee Program Committee Important Dates Call for Papers Call for Workshops Keynote Speeches Journal Special Issues Registration Conference Venue Travel Guide Contacts Accommodation Visa Program Submit Speeches DSS-2019 SmartCity-2019 Congratulations! 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) has been posted to the IEEE Xplore digital library effective 2019-10-03.
Welcome Message

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 recognized 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, 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. Extended versions of selected best papers will appear in SCIE-indexed international journals, such as IEEE Internet of Things Journal (IF:5.863), IEEE Transactions on Industrial Informatics (IF:5.43), Information Sciences (IF:4.305), Neural Computing and Applications (IF:4.213), Neurocomputing (IF:3.241) and Software: Practice and Experience (IF:1.338).

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. 2019 is the 5th event following the success in 2015 (DSDIS-2015), 2016 (DSS-2016), 2017 (DSS-2017) and 2018 (DSS-2018).

DSS-2019 will be hosted in Zhangjiajie. It is the first national forest park in China and one of the most important tourist cities in China.It is located in the northwest of Hunan province, about 400 kilometers away from Changsha, the capital of Hunan province, covering a total area of 9,563 square kilometers, of which 76% are mountainous area. Zhangjiajie was listed into the World Natural Heritage Catalogue by the UNESCO in 1992. Zhangjiajie was awarded the title of “World Geological Park” in 2004.

Prospective authors are invited to submit their papers to DSS-2019. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.

Scope and Topics

Scope and Topics:

Topics of interest include, but are not limited to:

I. Data Science

  • Foundational theories and models of data science
  • Foundational algorithms and methods for big data
  • Data classification and taxonomy
  • Data metrics and metrology
  • Machine learning and deep learning
  • Data analytics
  • Data provenance
  • Fault tolerance, reliability, and availability
  • Security, privacy and trust in Data

II. Data Processing Technology

  • Data sensing, fusion and mining
  • Data representation, dimensionality reduction, processing and proactive service layers
  • Data capturing, management, and scheduling techniques
  • Stream data processing and integration
  • Knowledge discovery from multiple information sources
  • Statistical, mathematical and probabilistic modeling and theories
  • Information visualization and visual data analytics
  • Information retrieval and personalized recommendation
  • 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
  • Replication, archiving, preservation strategies
  • Stream data computing
  • Meta-data management
  • Remote data access

III. Data Systems

  • Storage and file systems
  • High performance data access toolkits
  • Programming models, abstractions for data intensive computing
  • Compiler and runtime support
  • Future research challenges of data intensive systems
  • Real-time data intensive systems
  • Network support for data intensive systems
  • Challenges and solutions in the era of multi/many-core platforms
  • Green (power efficient) data intensive systems
  • Data intensive computing on accelerators and GPUs
  • Productivity tools, performance measuring and benchmark for data intensive systems
  • Big Data, cloud computing and data intensive systems

IV. Data Applications

  • HPC system architecture, programming models and run-time systems for data intensive applications
  • Innovative applications in business, finance, industry and government cases
  • Data-intensive applications and their challenges
  • Innovative data intensive applications such as health, energy, cybersecurity, transport, food, soil and water, resources, advanced manufacturing, environmental Change, and etc.
Paper Submission Guidelines

All papers need to be submitted electronically through the conference submission website (https://easychair.org/conferences/?conf=dss2019) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page:

Manuscript Templates for Conference Proceedings can be found at:

Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference.

Please click the "edit" symbol beside the public release approval as in the attachment before uploading your paper.

Important Dates
Workshop Proposal Due:
10 January 2019
Paper Submission Deadline:
10 February 2019  23 March 2019   15 April 2019 (Firm)
Authors Notification:
22 April 2019  15 May 2019
Camera-Ready Paper Due:
25 May 2019  10 June 2019
Early Registration Due:
30 June 2019
Conference Date:
10-12 August 2019
Conference History

 DSS 2018, Exeter, UK

 DSS 2017, Bangkok, Thailand

 DSS 2016, Sydney, Australia

 DSDIS 2015, Sydney, Australia


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