3rd International Workshop on Distributed Storage Systems and Coding for Big Data
in conjunction with
2015 IEEE International Conference on Big Data (IEEE BigData 2015)


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 included in the Workshop

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
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

Sep. 6, 2015: Due date for full workshop papers submission
Sep. 20, 2015: Notification of paper acceptance to authors
Oct. 5, 2015: Camera-ready of accepted papers
Oct. 29-Nov. 1, 2015: Workshops



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.



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.

Authors of accepted papers will be invited to submit a revised and extended version of their paper (at least 30% of additional material) after the workshop to a related special issue of a journal as a special issue in the ZTE Communications.



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



Program Committee Members:

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
Dimitris Papailiopoulos, University of California, Berkeley, USA
Zhiying Wang, Stanford University, USA
Natalia Silberstein, Technion-Israel Institute of Technology, Israel
Ankit Singh Rawat, The University of Texas at Austin, USA
Alexander Zeh, Technion-Israel Institute of Technology, Israel
Jagadeesh Harshan, Nanyang Technological University, Singapore
Shujiang Zhao, Huawei Technology, China
Yuesheng Zhu, Peking University, China