6th International Workshop on Distributed Storage and Blockchain Technologies for Big Data
in conjunction with
2018 IEEE International Conference on Big Data (IEEE BigData 2018)


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. As node failures occur frequently in large-scale storage systems, a considerable volume of network traffic is dedicated to the repair of failed storage nodes. Several classes of distributed storage codes, such as regenerating codes, locally repairable codes, have been introduced recently to reduce this overhead and disk input/output cost. However, there still remains substantial research work for advancing distributed storage coding and systems 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
Cloud computing systems for big data applications
Blockchain technology for cloud storage
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
Erasure Codes for BigData
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
Deduplication
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. 20, 2018: Due date for full workshop papers submission
Nov. 05, 2018: Notification of paper acceptance to authors
Nov. 20, 2018: Camera-ready of accepted papers (Firm Deadline)
Dec. 10-13, 2018: Workshop


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, Institute of Network Coding, The Chinese University of Hong Kong, Hong Kong


Technical Program Committee:
Yunghsiang Sam Han, National Taiwan University of Science and Technology, Taiwan
Wai Ho Mow, University of Science and Technology, Hong Kong
Salim El Rouayheb, Rutgers University, USA
Chao Tian, Texas A&M University, USA
Jian Ren, Michigan State University, USA
Chi Wan Sung, City University of Hong Kong, Hong Kong
Zhiying Wang, University of California at Irvine, USA
Sian-Jheng Lin, University of Science and Technology of China, China
Ankit Singh Rawat, Massachusetts Institute of Technology, USA
Po-Ning Chen, National Chiao Tung University, Taiwan
Bo Mao, Xiamen University, China
Yuesheng Zhu, Peking University, China
Xiao Ma, Sun Yat-Sen University, China
Hanxu Hou, Dongguan University of Technology, China
Huayu Zhang, Huawei Technologies Co. Ltd, China