2018 International Workshop on BigData Processing Systems (BDPS)
December 11-13, 2018 Singapore

Overview

BigData processing systems, such as Hadoop, Spark, Storm, PowerGraph etc. are widely adopted by the industry because they offer good scalability, high performance, and high resource efficiency to provide infrastructures for BigData applications. The 2018 International Workshop on BigData Processing Systems (in conjunction with ICPADS 2018) provides the researchers with an outstanding opportunity for presenting their latest work on BigData processing systems.

Topics of Interest

Topics of interest include, but are not limited to:

  • BigData application systems
  • Measurement of BigData systems
  • BigData batch processing over Map Reduce
  • Big graph processing
  • Real-time stream processing
  • In-memory computing
  • Opportunities of new networking options (e.g., RDMA) in BigData systems
  • Challenged for new storage technologies in BigData systems
  • BigData in machine learning

Accepted Papers

285. The Case of Operational Distributed Storage and Computing Platform Services for Big Data in a Semiconductor Wafer Fabrication Foundry
Andy PK Chang (United Microelectronics Corporation, Taiwan, China), Yu-Ling Chen (National Cheng Kung University, Taiwan, China), Yen-Zhou Huang (National Cheng Kung University, Taiwan, China), Hung-Chang Hsiao (National Cheng Kung University, Taiwan, China), Michael Hsu (United Microelectronics Corporation, Taiwan, China), Chia-Chee Lee(National Cheng Kung University, Taiwan, China), Hsin-Yin Lee (National Cheng Kung University, Taiwan, China), Wei-An Shih (National Cheng Kung University, Taiwan, China), Chia-Ping Tsai (Apache HBase Committee and Project Management Committee (PMC), Kuan-Po Tseng (National Cheng Kung University, Taiwan, China)

311. Distributed Top-k Subgraph Search over Big Graphs
Jianliang Gao (Central South University, China), Chuqi Lei (Central South University, China), Ping Zhong (Central South University, China) and Fengxia Yan (National University of Defense Technology, China)

312. An Overview on the Convergence of High Performance Computing and Big Data Processing
Songzhu Mei (National Lab for Parallel and Distributed Processing, China), Hongtao Guan (National Lab for Parallel and Distributed Processing, China), Qinglin Wang (National Lab for Parallel and Distributed Processing, China)

313. A Quick Survey on Large Scale Distributed Deep Learning Systems
Zhaoning Zhang (National University of Defense Technology, China), Lujia Yin (National University of Defense Technology, China), Yuxing Peng (National University of Defense Technology, China), Dongsheng Li (National University of Defense Technology, China)

292. Eunomia: A Performance-Variation-Aware Fair Job Scheduler With Placement Constraints For Heterogeneous Datacenters
Wei Zhou (University of Virginia, USA), Preston White (University of Virginia, USA) and Hongfeng Yu (University of Nebraska-Lincoln, USA)

301. Fine-grained Big Data Security Method Based on Zero Trust Model
Yang Tao (National Engineering Laboratory for Cyber Event Warning and Control Technologies, China), Zhu Lei (National Engineering Laboratory for Cyber Event Warning and Control Technologies, China), Peng Ruxiang (National Engineering Laboratory for Cyber Event Warning and Control Technologies, China)

316. Modeling Application Performance in Docker Containers using Machine Learning Techniques
Kejiang Ye (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China) and Cheng-Zhong Xu (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China)

317. JCDTA: The Data Trading Architecture Design in JointCloud Computing
Xikun Yue (National University of Defense Technology, China), Huaimin Wang (National University of Defense Technology, China), Peichang Shi (National University of Defense Technology, China), Xiang Fu (National University of Defense Technology, China), Shilan Yang (National University of Defense Technology, China), Xue Ouyang (National University of Defense Technology, China)

321. A Traffic Sign Text Detection System for Pratical Natural Scenes
Zhongrong Zuo (National Lab for Parallel and Distributed Processing, China), Pengtao Yang (Peking University, China)

Important dates

  • Paper submission: September 5th, 2018 September 10th, 2018
  • Paper notification: September 24th, 2018 September 30th, 2018
  • Camera ready: October 1st, 2018 October 3rd, 2018

Organizers

General Chairs:

  • Xian-He Sun, Illinois Institute of Technology, USA
  • Hai Jin, Huazhong University of Science and Technology, China

Program Committee Chairs:

  • Yiming Zhang, National University of Defense Technology, China
  • Hanhua Chen, Huazhong University of Science and Technology, China

Program Committee: (continuously being updated)

  • Bin Cheng, NEC Laboratories Europe, Germany
  • Naiyang Guan, Academy of Military Science, China
  • Deke Guo, National University of Defense Technology, China
  • Ligang He, University of Warwick,UK
  • Qiang He, Swinburne University of Technology, Australia
  • Qiangsheng Hua, Huazhong University of Science and Technology, China
  • Yu Hua, Huazhong University of Science and Technology, China
  • Hong Huang, Huazhong University of Science and Technology, China
  • Shadi Ibrahim, Inria, France
  • Zhenhua Li, Tsinghua University, China
  • Huiba Li, Alibaba Corp., China
  • Yunhuai Liu, Peking University, China
  • Xiaoyi Lu, Ohio State University, USA
  • Haibo Mi, National University of Defense Technology, China
  • Li Qi, The Third Research Institute of Ministry of Public Security, China
  • Jia Rao, University of Texas at Arlington, USA
  • Zubair Shafiq, The University of Iowa, USA
  • Stephan Sigg, Aalto University, Finland
  • Chen Tian, Nanjing University, China
  • Wenyao Xu, State University of New York (SUNY) at Buffalo, USA
  • Jianhui Yue, Michigan Technological University, USA
  • Ye Yuan, Northeastern University, China
  • Yongluan Zhou, University of Copenhagen, Denmark
  • Ping Zhong, Central South University, China

Submission Guidelines

Submission Link: https://easychair.org/conferences/?conf=icpads2018

Each submission must not exceed 8 pages 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 . The final version will be limited to 6 pages in IEEE proceeding format for conference papers. Up to 2 extra pages may be purchased.

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.

Instructions for Camera-ready

Camera-ready submission site: https://ieeecps.org/#!/auth/login?ak=1&pid=4xbCu945cN4WRDtEK2ZZXS

The camera-ready for workshop papers are at most 6 pages (no extra pages can be purchased, paper should be in IEEE 8.5" x 11" two-column format with 10-point font). The deadline for the final version submission is 3 October 2018.

In order to include the workshop papers to the final proceedings of IEEE ICPADS 2018, each accepted workshop paper requires at least one registration before 3 October 2018. (Please note that each accepted workshop paper must come with one registration of ANY type, which gives you full access to the conference program including all conference and workshop sessions, keynote and plenary talks, as well as social events).