Scalable Storage Systems
Data has become one of the most valuable assets in all businesses and one of the most volatile. With all businesses, today, the growth of data needed to operate is increasing at the stated 67% per year at current business practices. To worsen the data storage problem, many new regulations require that much data and electronic records and emails be readily available. For these reasons, the requirement for storage continues to grow at a phenomenal pace. Complexity and the proprietary nature of storage systems have meant and continue to mean high investment and management costs.
The Paderborn Center for Parallel Computing develops parallel storage algorithms, integrates them in scalable storage architectures and leverages their usage by new management concepts. These concepts are investigated inside the following projects:
- Hydra: Peer-to-peer data distribution strategies for small, mobile devices
- LoneStar: Energy Efficient Long Term Archival Storage System
- Parallel Data Deduplication: Efficient usage of disk capacity
- SCALUS: SCAling by means of Ubiquitous Storage
- V:Drive: Storage Virtualization




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