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BDPS 2021 : 2021 International Workshop on BigData Processing Systems


When Jul 7, 2021 - Jul 10, 2021
Where Washington DC, USA
Submission Deadline Mar 15, 2021
Notification Due Apr 5, 2021
Final Version Due Apr 20, 2021

Call For Papers


BDPS 2021
2021 International Workshop on BigData Processing Systems

Held in conjunction with IEEE ICDCS 2021

July 7-10, 2021, Washington DC, USA

Submission Deadline: March 15, 2021


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 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

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

Jalil Boukhobza, University of Western Brittany, France
Suren Byna, Lawrence Berkeley National Laboratory, USA
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
Dana Petcu, University West Timisoara, Romania
Anna Queralt, Barcelona Supercomputing Center, Spain
Kento Sato, RIKEN R-CCS, Japan
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
Yongluan Zhou, University of Copenhagen, Denmark

All papers need to be submitted electronically through EasyChair with PDF format through the following link:
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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