HiDEC 2019 - Workshop on HPC Supported Data Analytics for Edge Computing (HiDEC)

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