2018 International Workshop on HPC Supported Data Analytics for Edge Computing (HiDEC)

June 12, 2018 Beijing

In Conjunction with ACM ICS 2018

June 12-14, 2018 Beijing,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 2018 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.



Topics of interests include, but are not limited to:

Edge computing infrastructure

Programing models and toolkits of edge computing

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

Remote and distributed visualization of large scale data

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


Submission Instructions


Please submit full papers in PDF or doc format via the submission system. Do not email submissions. 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. Final author manuscripts will be 8.5" x 11" (two columns IEEE format), not exceeding 10 pages; max 2 extra pages allowed at additional cost.


The names of authors and their affiliations should be included on the first page of the submission.


Simultaneous submission of the same work to multiple venues, submission of previously published work, or plagiarism constitutes dishonesty or fraud.


Reviewing of full papers will be done by the program committee, assisted by outside referees. Accepted papers will be shepherded through an editorial review process by a member of the program committee.


By submitting a paper, you agree that at least one of the authors will attend the workshop to present it. Otherwise, the paper will be excluded from the digital library of IEEE.


Presented papers at the workshop will be recommended for publication in some prestigious journals.


Submit your paper via EasyChair for HiDEC2018 at:



Important Dates

Workshop Paper Due: Mar. 31st, 2018

Author Notification: Apr. 15th, 2018

Camera-ready Paper Due:  May 1st, 2018

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


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