DSBTB 2018 - 6th International Workshop on Distributed Storage and Blockchain Technologies for Big Data

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 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
Cloud computing systems for big data applications
Blockchain technology for cloud storage
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
Erasure Codes for BigData
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