SCHEDULE: NOV 10-16, 2012
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Scalia: An Adaptive Scheme for Efficient Multi-Cloud Storage
SESSION: Cloud Computing
EVENT TYPE: Papers
TIME: 1:30PM - 2:00PM
SESSION CHAIR: Manish Parashar
AUTHOR(S):Thanasis G. Papaioannou, Nicolas Bonvin, Karl Aberer
A growing amount of data is produced daily resulting in a growing demand for storage solutions. While cloud storage providers offer a virtually infinite storage capacity, data owners seek geographical and provider diversity in data placement, in order to avoid vendor lock-in and to increase availability and durability. Moreover, depending on the customer data access pattern, a certain cloud provider may be cheaper than another. In this paper, we introduce Scalia, a cloud storage brokerage solution that continuously adapts the placement of data based on its access pattern and subject to optimization objectives, such as storage costs. Scalia cleverly considers re-positioning of only selected objects that may significantly lower the storage cost. By extensive simulation experiments, we prove the cost-effectiveness of Scalia against static placements and its proximity to the ideal data placement in various scenarios of data access patterns, of available cloud storage solutions and of failures.
Manish Parashar (Chair) - Rutgers University
Thanasis G. Papaioannou - EPFL
Nicolas Bonvin - EPFL
Karl Aberer - EPFL