Scientific data has become the foundation and strategic resources for science and technology innovation. In recent years, with the deployment of big scientific instrumentation, scientific research has entered the era of big data. There are driving needs to generate values from big scientific data. However, scientific data in different areas has different data schemas, such as event data in high-energy physics, RDF data in microbiology, and spatio-temporal data in astronomy. In addition, the sheer volume of big scientific data requires significant storage capacity, transmission bandwidth, computations, and power consumption. Without big scientific data benchmarks, it is very difficult for scientific researchers and computer system researcher to make choice on which system is best for meeting with their specific requirements. They also face challenges on how to optimize the systems and their solutions for specific or even comprehensive scientific workloads. Meanwhile, researchers are also working on innovative scientific data management systems, hardware architectures, operating systems, and programming systems to improve performance in dealing scientific data.

Call for Papers


The workshop seeks papers that address hot topic issues in benchmarking, designing, implementing and optimizing big scientific data architecture and systems. Specific topics of interest include but are not limited to:

  • Big scientific data workload characterization and benchmarking
  • Performance analysis of scientific data systems
  • Workload-optimized big scientific data systems
  • Big scientific data visualization
  • Innovative prototypes of big scientific data infrastructures
  • Hardware and software co-design for big scientific data systems
  • Practice reports of evaluating and optimizing large-scale big scientific data systems
  • Practical cases in various fields of scientific data collection, management, processing, analytics and visualization

Papers should present original research. As big data spans many disciplines, papers should provide sufficient background material to make them accessible to the broader community.

Download CFP

Paper Submissions

Papers will be processed with two-round reviews, and the proceeding will be published by Springer LNCS (EI Indexed). First-round submission should be no more than 4 pages in standard two-column IEEE conference format not including references. The second-round submissions should be around 8-12 pages. Submissions should be PDF files following the submission guidelines that will be made available at the submission website. The submissions will be judged based on the merit of the ideas rather than the length.

Submission site:

Best paper award will be announced at the end of the workshop!


Important Dates

Abstraction Submission                                April 1,    2018     April 15,    2018
First Round submission                                April 8,    2018     April 22,    2018
First Round Notification                                April 25,   2018    May 9,    2018
Second Round submission                            May 20,   2018     June 3,    2018
Notification of paper outcome                     June 11,   2018


12/June (Tuesday)

9:00-9:10 Opening (General Chair: Chen Zheng)
9:10-10:10 Session A (Session Chair: Chen Zheng)
9:10-9:30 A Parallel Solving Algorithm on GPU for the Time-Domain Linear System with Diagonal Sparse Matrices
Yifei Xia and Jiaquan Gao
9:30-9:50 An unsupervised anomaly detection algorithm for time series big data
Wenqing Wang, Junpeng Bao and Hui He
9:50-10:10 Asynchronous COMID: The Theoretic Basis for Transmitted Data Sparsification Tricks on Parameter Server
Daning Cheng, Shigang Li and Yunquan Zhang
10:10-10:25 Break
10:25-11:45 Session B (Session Chair: Chen Zheng)
10:25-10:45 Performance Prediction in Nuclear Materials by Using a Collaborative Framework of Supercomputing, Big Data and Artificial Intelligence
Li Danning, Chen Dandan and Hu Changjun
10:45-11:05 GCM-Bench: A Benchmark for RDF Data Management System on Microorganism Data
Renfeng Liu and Jungang Xu
11:05-11:25 Evaluating Graph Database Systems for Biological Data
Minghe Yu, Yaxuan Zang and Daoyi Zheng
11:25-11:45 Evaluating Index Systems of High Energy Physics
Shaopeng Dai, Wanling Gao, Biwei Xie, Defei Kong and Rui Han
12:25-13:25 Lunch
13:30-15:45 Session C (Session Chair: Rui Ren)
13:30-14:30 Keynote: Big data processing and application use cases from China space science missions
Prof. Ziming Zou - CAS, China
14:30-14:45 Break
14:45-15:05 Multi-Domain and Sub-Role Oriented Software Architecture for Managing Scientific Big Data
Qi Sun, Yue Liu, Wenjie Tian, Yike Guo and Jiawei Lu
15:05-15:25 WASC: Adapting Scheduler Configurations for Heterogeneous MapReduce Workloads
Siyi Wang, Rui Han and Fan Zhang
15:25-15:45 An Iterative Data Partitioning Strategy for MapReduce Framewor
Yuanming Zhang, Jianbo Jiang, Jiawei Lu, Fei Gao and Gang Xiao

Venue Information

The workshop will be held in Room 310, Beijing International Convention Center.
Address: No.8 Beichen Dong Road, Chaoyang District, Beijing, China

Contact Information

Rui Ren:           
Dr. Chen Zheng:
Prof. Jianfeng Zhan:


General Chairs: 

Chen Zheng, Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences
Jianhui Li, Computer Network Information Center, Chinese Academy of Sciences

Program Co-Chairs: 

Rui Ren, Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences
Prof. Xiaoyong Du, Renmin University of China
Prof. Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences

Publicity Chairs: 

Lei Wang, ICT, CAS and UCAS
Shaopeng Dai, ICT, CAS and UCAS

Web Chairs: 

Wanling Gao, ICT, CAS and UCAS
Zihan Jiang, ICT, CAS and UCAS

Keynote speaker

Keynote: Prof. Ziming Zou - CAS, China

Program committee (Confirmed)

  • Xiaoyi Lu, The Ohio State University
  • Hyogi Sim, Oak Ridge National Laboratory
  • Gwangsun Kim, ARM Ltd
  • Nikhil Jain, Lawrence Livermore National Laboratory
  • Weijia Xu, The University of Texas at Austin
  • Zhihui Du, Tsinghua University
  • Lei Wang, Institute of Computing Technology, Chinese Academy of Science
  • Shengzhong Feng, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
  • Jiaquan Gao, Nanjing Normal University
  • Hua Zhong, Institute of Software, Chinese Academy of Sciences
  • Li Zha, Institute of Computing Technology, Chinese Academy of Sciences
  • Yunquan Zhang, Institute of Computing Technology, Chinese Academy of Sciences
  • Cheqing Jin, East China Normal University
  • Yuanming Zhang, Zhejiang University of Technology
  • Wenyao Zhang, Beijing Institute of Technology
  • Xiaoru Yuan, Peking University
  • Jianyan Wei, National Astronomical Observatories, Chinese Academy of Sciences
  • Yuanchun Zhou, Computer Network Information Center, Chinese Academy of Sciences
  • Gang Chen, Institute of High Energy Physics, Chinese Academy of Sciences
  • Jungang Xu, University of Chinese Academy of Sciences
  • Yue Liu, Shanghai University
  • Rong Zhang, East China Normal University
  • Yaodong Cheng, Institute of High Energy Physics, Chinese Academy of Sciences
  • Lizhe Wang, Institute of Remote Sensing Applications, Chinese Academy of Sciences
  • Ce Yu, Tianjin University