113 research outputs found
SEARS: Space Efficient And Reliable Storage System in the Cloud
Today's cloud storage services must offer storage reliability and fast data
retrieval for large amount of data without sacrificing storage cost. We present
SEARS, a cloud-based storage system which integrates erasure coding and data
deduplication to support efficient and reliable data storage with fast user
response time. With proper association of data to storage server clusters,
SEARS provides flexible mixing of different configurations, suitable for
real-time and archival applications.
Our prototype implementation of SEARS over Amazon EC2 shows that it
outperforms existing storage systems in storage efficiency and file retrieval
time. For 3 MB files, SEARS delivers retrieval time of s compared to
s with existing systems.Comment: 4 pages, IEEE LCN 201
A Robust Fault-Tolerant and Scalable Cluster-wide Deduplication for Shared-Nothing Storage Systems
Deduplication has been largely employed in distributed storage systems to
improve space efficiency. Traditional deduplication research ignores the design
specifications of shared-nothing distributed storage systems such as no central
metadata bottleneck, scalability, and storage rebalancing. Further,
deduplication introduces transactional changes, which are prone to errors in
the event of a system failure, resulting in inconsistencies in data and
deduplication metadata. In this paper, we propose a robust, fault-tolerant and
scalable cluster-wide deduplication that can eliminate duplicate copies across
the cluster. We design a distributed deduplication metadata shard which
guarantees performance scalability while preserving the design constraints of
shared- nothing storage systems. The placement of chunks and deduplication
metadata is made cluster-wide based on the content fingerprint of chunks. To
ensure transactional consistency and garbage identification, we employ a
flag-based asynchronous consistency mechanism. We implement the proposed
deduplication on Ceph. The evaluation shows high disk-space savings with
minimal performance degradation as well as high robustness in the event of
sudden server failure.Comment: 6 Pages including reference
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