7th International Workshop on Distributed Storage and Blockchain Technologies for Big Data
7th International Workshop on Distributed Storage and Blockchain Technologies for Big Data
in conjunction with
2019 IEEE International Conference on Big Data (IEEE BigData 2019)
Introduction to Workshop
In recent years, data storage has emerged as an important research field driven by the demand for scalable structures and technologies to satisfy the growing needs of massive data management and processing. Big Data challenges storage systems with more capacity, scalability and accessibility. Dispersing a huge data object in a large-scale distributed storage system is necessary to enhance data reliability and availability. By introducing redundancy in the system, we can protect data integrity from node failures. In addition, as an emerging distributed technology, blockchain is often considered to be used in distributed storage systems to ensure the non-tampering of data. However, there still remains substantial research work for advancing distributed storage coding and blockchain technologies in both theory and applications.
This workshop will provide an excellent platform for researchers and practitioners from academia and industry to exchange ideas and experiences that distributed storage systems can offer to Big Data applications, and to understand the challenges that we need tackle to realize the full potential.
Research Topics
Topics of interest include but are not limited to:
- Cloud storage and distributed storage system
- Blockchain technology for cloud storage
- Cloud computing systems for Big Data applications
- Distributed I/O (wide-area, grid, peer-to-peer)
- Experience and empirical evaluation of deployed systems
- Solid-state drive (e.g., flash, PCM) in large-scale storage
- RAID and erasure coding
- Repair bandwidth and regenerating codes
- Locally repairable codes
- Storage management and security
- Power-aware storage architectures and technologies
- File system design
- De-duplication
- Key-value and NoSQL storage
- Memory-only storage systems
- Reliability, availability, and disaster recovery
- Scalable resource management for Big Data
- Big Data in private and public clouds
Important Dates
Oct. 1, 2019: Due date for full workshop papers submission (Extended to Oct. 15, 2019)Nov. 1, 2019: Notification of paper acceptance to authors (Extended to Nov. 8, 2019)Nov. 15, 2019: Camera-ready of accepted papers (Extended to Nov. 20, 2019)- Dec. 9-12, 2019: Workshops
Paper Submission
Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to Formatting Instructions). The full manuscript should be at most 10 pages using the 2-column IEEE format. Additional pages will be charged additional fee.
Papers MUST be submitted in PDF format and only through the Online Submission System.
Publication
The authors of accepted papers must guarantee that their papers will be presented at the conference. At least one author of each accepted paper must register for the conference in order to include the paper in IEEE Xplore Digital Library.
Workshop Co-chairs
- Hui Li, School of Electronic and Computer Engineering, Peking University, China
- Kenneth W. Shum, School of Science and Engineering, The Chinese University of Hong Kong, China
Technical Program Committee:
- Yunghsiang Sam Han, Dongguan University of Technology, China
- Shengli Zhang, Shenzhen University, China
- Salim El Rouayheb, Rutgers University, USA
- Zhiying Wang, University of California at Irvine, USA
- Kamanashis Biswas, Australian Catholic University, Australia
- Sian-Jheng Lin, University of Science and Technology of China, China
- Bo Mao, Xiamen University, China
- Yuesheng Zhu, Peking University, China
- Hanxu Hou, Dongguan University of Technology, China
- Huayu Zhang, Huawei Technologies Co. Ltd, China
- Bing Zhu, Central South University, China
Technical Program
TBD.
Past Workshops
1st Workshop on Distributed Storage Systems and Coding for Big Data
2nd Workshop on Distributed Storage Systems and Coding for Big Data
3rd Workshop on Distributed Storage Systems and Coding for Big Data
4th Workshop on Distributed Storage Systems and Coding for Big Data
5th Workshop on Distributed Storage Systems and Coding for Big Data
6th Workshop on Distributed Storage and Blockchain Technologies for Big Data
