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DSSCB 2016 : 4th International Workshop on Distributed Storage Systems and Coding for Big Data


When Dec 5, 2016 - Dec 8, 2016
Where Washington DC, USA
Submission Deadline Oct 16, 2016
Notification Due Oct 31, 2016
Final Version Due Nov 15, 2016
Categories    big data   cloud storage   erasure codes   file system

Call For Papers

4th International Workshop on Distributed Storage Systems and Coding for Big Data

in conjunction with

2016 IEEE International Conference on Big Data (IEEE BigData 2016)

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 efficient 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 BigData
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
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. 16, 2016: Due date for full workshop papers submission
Oct. 31, 2016: Notification of paper acceptance to authors
Nov. 15, 2016: Camera-ready of accepted papers
Dec. 05, 2016: Workshop

Paper Submission

The full manuscript should be at most 8 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.


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 (Tentative):

Shuo-Yen Robert Li, The Chinese University of Hong Kong, Hong Kong
Salim El Rouayheb, Illinois Institute of Technology, USA
Wai Ho Mow, University of Science and Technology, Hong Kong
Chao Tian, The University of Tennessee Knoxville, USA
Kenneth W. Shum, The Chinese University of Hong Kong, Hong Kong
Son Hoang Dau, Singapore University of Technology and Design, Singapore
Chi Wan Sung, City University of Hong Kong, Hong Kong
Bo Mao, Xiamen University, China
Xiao Ma, Sun Yat-sen University, China
Zhiying Wang, University of California at Irvine, USA
Ankit Singh Rawat, Carnegie Mellon University, USA
Jagadeesh Harshan, Nanyang Technological University, Singapore
Shujiang Zhao, Huawei Technology, China
Yuesheng Zhu, Peking University, China

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