Workshop Description

We live in a data-driven world: Big Data has the potential to impact our life in different areas such as science, health care, business, etc. As data processing and analytics are essential to extract useful and timely information from Big Data, Big Data processing systems, such as Hadoop, Spark, Storm, PowerGraph etc. have been widely adopted and practiced in both industry and academia. The third International Workshop on Big Data Processing Systems (BDPS 2021) serves as a forum for scientists and engineers in both academia and industry to discuss their latest work, findings and experiences on major and emerging topics on Big Data processing. A special emphasis this year will be on hardware accelerators (e.g., FPGA, GPU, RDMA etc) and decentralized infrastructures (Fog, disaggregated resources, etc) to facilitate the execution of traditional and emerging Big Data applications.

Topics of Interest

Topics of interest of the BDPS 2021 include, but are not limited to:

• Models and techniques for Big Data processing
• New storage devices for Big Data processing
• Scalable Big Data processing in the Fog
• Energy-efficient and energy-proportional data processing
• Scalable data management for Big Data processing
• Adoption of hardware accelerators to Big Data processing systems
• Techniques for data integrity and availability in Big Data processing systems
• Geo-distributed Big Data analytics
• Scheduling and provisioning data analytics on hybrid Cloud and fog infrastructures
• Machine learning techniques for data-intensive applications
• Graph Processing
• Stream data processing
• In-memory data processing
• Fault management and reliability
• Security, privacy and trust for Big Data processing

Important dates

• Paper submission: March 15 20, 2021, 11:59 PM AoE
• Paper notification: April 5, 2021
• Camera ready: April 20, 2021

Organizing Committee

Workshop Chairs:

• Chunming Hu, Beihang University, China
• Shadi Ibrahim, Inria, France
• Hanhua Chen, Huazhong University of Science and Technology, China

Program Committee:

• Jalil Boukhobza, University of Western Brittany, France
• Suren Byna, Lawrence Berkeley National Laboratory, USA
• Xin Cao, The University of New South Wales, Australia
• Amelie Chi Zhou, ShenZhen university, China
• Giuseppe Di Modica, University of Bologna, Italy
• Matthieu Dorier, Argonne National Lab, USA
• Deke Guo, National University of Defense Technology, China
• Ligang He, University of Warwick UK
• Qiang He, Swinburne University of Technology, Australia
• Yu Hua, Huazhong University of Science and Technology, China
• Thomas Lambert, Inria, France
• Zhenhua Li, Tsinghua University, China
• Jianxin Li, Deakin University, Australia
• Dana Petcu, University West Timisoara, Romania
• Anna Queralt, Barcelona Supercomputing Center, Spain
• Kento Sato, RIKEN R-CCS, Japan
• Domenico Talia, University of Calabria, Italy
• Chen Tian, Nanjing University, China
• Yongxin Tong, Beihang University, China
• Hongzhi Wang, Harbin Institute of Technology, China
• Wenyao Xu, State University of New York (SUNY) at Buffalo, USA
• Orcun Yildiz, Argonne National Lab, USA
• Jianhui Yue, Michigan Technological University, USA
• Meihui Zhang, Beijing Institute of Technology, China
• Dongxiang Zhang, Zhejiang University, China
• Yongluan Zhou, University of Copenhagen, Denmark

Submission Guidelines

Submission Link: EasyChair-BDPS2021

Papers must be no more than 6 pages (and up to 2 over length pages may be purchased for the final camera-ready version) in the IEEE 8.5" x 11" two-column format with 10-point font, including tables, figures and references. Template formatting is located at IEEE website.

All submitted manuscripts will be peer-reviewed by the program committee members. At least one author of all the accepted paper should register and give a presentation in the conference in order for the accepted paper to be included into the IEEE digital library. All accepted papers will be included in IEEE Xplore and indexed by EI.

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