The Second Workshop on Distributed Storage Systems and Coding for Big Data

The Second Workshop on Distributed Storage Systems and Coding for Big Data

Introduction to workshop

Mass storage is critical in the era of Big Data. Dispersing a huge data file in a large-scale distributed storage system is necessary in order to enhance reliability and availability. By introducing redundancy in the system, we can protect the data integrity from node failures. As node failures occur frequently in large-scale storage system, a considerable volume of Internet traffic is dedicated to the repair of failed storage nodes. Several classes of distributed storage codes, such as regenerating codes, locally repairable codes and so on, are introduced recently to reduce this overhead and disk input/output cost. Nevertheless, 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 computer systems researchers and data scientists to exchange ideas and experience that coding techniques and 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

Contributions devoted to the evaluation, optimization, or enhancement of distributed storage systems and cloud systems, as well as solutions for mass storage, are solicited. 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

• Aug. 30, 2014: Due date for full workshop papers submission (Extended to Spet. 7, 2014)
• Sept. 20, 2014: Notification of paper acceptance to authors (Extended to Spet. 25, 2014)
• Oct. 5, 2014: Camera-ready of accepted papers (Firm deadline)
• Oct. 30, 2014: Workshop

Paper Submission

The full manuscript should be at most SIX pages using the two-column IEEE format. Additional pages will be charged additional fee.

Papers MUST be submitted in PDF format and only through the online submission system:
https://wi-lab.com/cyberchair/2014/bigdata14/cbc_index.php

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 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
• H. Howie Huang, Department of Electrical and Computer Engineering, George Washington University, USA

Program Committee Members:

• Ming Xiao, Royal Institute of Technology, Sweden
• H. Howie Huang, The George Washington University, USA
• Chunming Rong, University of Stavanger, Norway
• Timothy Wood, The George Washington University, USA
• Youngjae Kim, Oak Ridge National Laboratory, USA
• Hui Li, Peking University, China
• Chi Wan Sung, City University of Hong Kong, Hong Kong
• WaiHo MOW, University of Science and Technology, Hong Kong
• Salim El Rouayheb, Illinois Institute of Technology, USA
• Xin WANG, Fudan University, China
• Xiao MA, Sun Yat-sen University, China
• Kenneth W. Shum, Institute of Network Coding, CUHK, Hong Kong
• Shujiang Zhao, Huawei Technology, China
• Yuesheng Zhu, Peking University, China
• Jianshe MA, Tsinghua University, China
• Qiang Cao, Huazhong University of Science and Technology, China

Technical Program

Venue: Diplomat, Hyatt Regency Bethesda, Washington DC, USA

2014 IEEE International Conference on Big Data (IEEE BigData 2014)