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

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

in conjunction with

2017 IEEE International Conference on Big Data (IEEE BigData 2017)

 

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

• Oct. 10, 2017: Due date for full workshop papers submission (Extended to Oct. 16, 2017)
• Oct. 31, 2017: Notification of paper acceptance to authors (Extended to Nov. 5, 2017)
• Nov. 20, 2017: Camera-ready of accepted papers (Firm Deadline)
• Dec. 11-14, 2017: Workshop

 

 

Paper Submission

The full manuscript should be at most 10 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.

 

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:

• Shuo-Yen Robert Li, The Chinese University of Hong Kong, Hong Kong
• Yunghsiang Sam Han, National Taiwan University of Science and Technology, Taiwan
• Salim El Rouayheb, Rutgers University, USA
• Wai Ho Mow, University of Science and Technology, Hong Kong
• Chao Tian, Texas A&M University, USA
• Jian Ren, Michigan State University, USA
• Zhiying Wang, University of California at Irvine, USA
• Sian-Jheng Lin, University of Science and Technology of China, China
• Ankit Singh Rawat, Massachusetts Institute of Technology, USA
• Po-Ning Chen, National Chiao Tung University, Taiwan
• Bo Mao, Xiamen University, China
• Yuesheng Zhu, Peking University, China
• Xiao Ma, Sun Yat-Sen University, China
• Hanxu Hou, Dongguan University of Technology, China
• Huayu Zhang, Huawei Technologies Co. Ltd, China

 

 

Technical Program

TBD.

 

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

        3rd Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH).

                                                                                                                                      Date: 5-December, 2016

Time	Workshop Schedule
08:30-15:30	3rd Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH)
15:30-15:50	Coffee Break
15:50-16:15	Towards Optimizing Large-Scale Data Transfers with End-to-End Integrity Verification Si Liu (Illinois Institute of Technology, USA), Eun-Sung Jun (Hongik University, South Korea), Rajkumar Kettimuthu (Argonne National Laboratory, USA), Xian-He Sun (Illinois Institute of Technology, USA), and Michael Papka (Argonne National Laboratory, USA)
16:15-16:40	EStore: An Effective Optimized Data Placement Structure for Hive Xin Li, Hui Li, Zhihao Huang, Bing Zhu (Peking University Shenzhen Graduate School, China), and Jiawei Cai (Guangdong Super Computing & Data Technology Co., Ltd, China)
16:40-17:05	SS-Dedup: A High Throughput Stateful Data Routing Algorithm for Cluster Deduplication System Zhihao Huang, Hui Li, Xin Li (Peking University Shenzhen Graduate School, China), and Wei He (Guangdong Super Computing & Data Technology Co., Ltd, China)
17:05-17:30	CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications Thomas Renner, Lauritz Thamsen, and Odej Kao (Technische Universitaet Berlin, Germany)
17:30-17:55	Persisting In-Memory Databases Using SCM Ellis Giles (Rice University, USA), Kshitij Doshi (Intel Corporation, USA), and Peter Varman (Rice University, USA)

Venue: Regency B, Hyatt Regency Washington on Capitol Hill, Washington D.C., USA

 
 

 

Past Workshops

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

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

3rd Workshop on Distributed Storage Systems and Coding for Big Data

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