Reliable and Randomized Data Distribution Strategies for Large ...

• mémoire - matière potentielle : consumption
• mémoire
• mémoire - matière potentielle : by orders of magnitude
• mémoire - matière potentielle : footprint
• mémoire - matière potentielle : for 64 storage systems
• mémoire - matière potentielle : capacities of 192 gbyte per node
• mémoire - matière potentielle : over the different tests
• mémoire - matière potentielle : capacity
• mémoire - matière potentielle : structures

Reliable and Randomized Data Distribution Strategies for Large Scale Storage Systems Alberto Miranda∗ Sascha Effert† Yangwook Kang‡ Ethan L. Miller‡ Andre Brinkmann† Toni Cortes∗§ ∗Barcelona Supercomputing Center (BSC) Barcelona, Spain †University of Paderborn Paderborn, Germany ‡University of California Santa Cruz, CA, USA §Technical University of Catalonia (UPC) Barcelona, Spain Abstract—The ever-growing amount of data requires highly scalable storage solutions.

• gap lengths
• spain †university of paderborn paderborn
• data distribution strategies
• s. a. brandt
• storage devices
• intervals
• fairness
• disk
• strategy
• strategies