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

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. 06, 2015: Due date for full workshop papers submission
• Sep. 20, 2015: Notification of paper acceptance to authors
• Oct. 05, 2015: Camera-ready of accepted papers
• Oct. 29, 2015: 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.

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

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

Technical Program

Our workshop will be held in conjunction with the following workshop:

First Workshop on Data-Centric Infrastructure for Big Data Science.

Past Workshops

1st Workshop on Distributed Storage Systems and Coding for Big Data

2nd Workshop on Distributed Storage Systems and Coding for Big Data