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Workshop on HPC Supported Data Analytics for Edge Computing (HiDEC)

In conjunction with IEEE HASE 2019

January 3-5, 2019 - China

Important Dates:

Submission Deadline:
9 September, 2018

Acceptance Notification:
15 October, 2018

Camera-ready due:
9 November, 2018

Conference Programme Availability:
9 December, 2018

Early Bird Registration:
On or before December 30, 2018

Conference Date:
3-5 January, 2019

General Chairs:

  • Congfeng Jiang, Hangzhou Dianzi University, China
  • Dong DAI, Texas Tech University, USA

Program Chairs:

  • Jian Wan, Zhejiang University of Science and Technology, China
  • Jilin Zhang, Hangzhou Dianzi University, China
  Edge computing is a new paradigm, which is near to the data, fusing network, computing, storage, and application, to provide more real-time and intelligent services. High-performance computing (HPC) is a paradigm which uses the parallel processing for running advanced application programs efficiently, reliably and quickly. These two computing paradigms are complementary, the edge computing can be more powerful and HPC can be more real-time after combination.

Therefore, the 2019 International workshop on HPC supported Data Analytics for Edge Computing (HiDEC) seeks to present exciting, innovative researches related to the design, implementation, analysis, evaluation, and deployment of the system with more powerful, real-time, and intelligent. HiDEC is a forum for top researchers, engineers, students, entrepreneurs, and government officials come together under one roof to discuss the opportunities and challenges that arise from rethinking HPC architectures and embracing edge computing.

Example topics of interest are given below, but are not limited to:

  • Edge computing infrastructure
  • Programing models and toolkits of edge computing
  • Embedded systems security
  • Security and protection of sensitive data in edge computing
  • Future research challenges of edge computing
  • Resource management and reliability for edge computing
  • Machine learning algorithms for edge computing
  • High performance distributed cache and optimization
  • High performance data transfer and ingestion
  • Cloud OS, middleware, data center architecture
  • Network support for data-intensive computing
  • Data archives, digital libraries, and preservation
  • High performance data access toolkits
  • Power and energy efficiency
  • Data privacy and protection in a public cloud environment
  • Data capturing, management, and scheduling techniques
  • Scientific data-sets analysis
  • Monitoring, troubleshooting, and failure recovery
  • Search and data retrieval
  • Storage and file systems
  • Performance measurement, analytic modeling, simulation
  • Remote and distributed visualization of large scale data
  • Network support for data-intensive computing

Submission Instructions: Please submit full papers in PDF or doc format via the submission system. Do not email submissions. Submissions must be formatted according to the IEEE formatting guidelines and submitted through EasyChair.Papers must be written in English. The complete submission must be no longer than ten (10) pages. It should be typeset in two-column format in 10 point type on 12 point (single-spaced) leading. References should not be set in a smaller font. Submissions that violate any of these restrictions may not be reviewed. The limits will be interpreted fairly strictly, and no extensions will be given for reformatting. Each accepted paper must be presented in person by the author or one of the authors. All accepted papers will be published in the electronic proceedings by the IEEE Computer Society, indexed through INSPEC and EI Index, and automatically included in the IEEE digital library.

Program Committee Members

  • Gangyong Jia, Hangzhou Dianzi University, China
  • Woosung Jung, Chungbuk National University, South Korea
  • Peng Di, University of New South Wales, Australia
  • Xiaofei Zhang, Hong Kong University of Science and Technology, Hong Kong
  • Jue Wang, Supercomputing Center of CAS, China
  • Jian Zhao, Institute for Infocomm Research, Singapore
  • Youhuizi LI, Hangzhou Dianzi University, China
  • Tingwei Chen. Liaoning University, China
  • Hui Ma, Victoria University of Wellington, New Zealand
  • Zujie Ren, Hangzhou Dianzi University, China

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