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BDPS 2021 : 2021 International Workshop on BigData Processing Systems | |||||||||||||
Link: https://bdps-2021.inria.fr | |||||||||||||
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Call For Papers | |||||||||||||
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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 https://bdps-2021.inria.fr Submission Deadline: March 15, 2021 *********************************************************************************** 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 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 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 PAPER SUBMISSION: ------------------------------- All papers need to be submitted electronically through EasyChair with PDF format through the following link: https://easychair.org/conferences/?conf=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. PUBLICATION: --------------------- 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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