5th International Workshop on Distributed Storage Systems and Coding for Big Data


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
• Erasure Codes for Big Data
• Cloud computing systems for Big Data applications
• Cloud software and hardware support for Big Data
• 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. 10, 2017: Due date for full workshop papers submission
• Oct. 31, 2017: Notification of paper acceptance to authors
• Nov. 15, 2017: Camera-ready of accepted papers
• Dec. 11-14, 2017: Workshops


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


Potential Program Committee Members:

• Wai Ho Mow, University of Science and Technology, Hong Kong
• Salim El Rouayheb, Illinois Institute of Technology, USA
• Kenneth W. Shum, The Chinese University of Hong Kong, Hong Kong
• Chao Tian, The University of Tennessee Knoxville, USA
• Chi Wan Sung, City University of Hong Kong, Hong Kong
• Xin Wang, Fudan University, China
• Xiao Ma, Sun Yat-sen University, China
• Shujiang Zhao, Huawei Technology, China
• Yuesheng Zhu, Peking University, China