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2011 IEEE 4th International Conference on Cloud Computing
MetaStorage: A Federated Cloud Storage System to Manage Consistency-Latency Tradeoffs
Washington, DC USA
July 04-July 09
ISBN: 978-0-7695-4460-1
Cost and scalability benefits of Cloud storage services are apparent. However, selecting a single storage service provider limits availability and scalability to the selected provider and may further cause a vendor lock-in effect. In this paper, we present MetaStorage, a federated Cloud storage system that can integrate diverse Cloud storage providers. MetaStorage is a highly available and scalable distributed hash table that replicates data on top of diverse storage services. MetaStorage reuses mechanisms from Amazon's Dynamo for cross-provider replication and hence introduces a novel approach to manage consistency-latency tradeoffs by extending the traditional quorum (N,R,W) configurations to an (N_P,R,W) scheme that includes different providers as an additional dimension. With MetaStorage, new means to control consistency-latency tradeoffs are introduced.
Index Terms:
Data storage systems, Distributed Computing, Middleware, Distributed Databases, Faul tolerance, Redundancy, Fault tolerant systems, Web services, Cloud Computing, Cloud Storage, Vendor Lock-in
Citation:
David Bermbach, Markus Klems, Stefan Tai, Michael Menzel, "MetaStorage: A Federated Cloud Storage System to Manage Consistency-Latency Tradeoffs," cloud, pp.452-459, 2011 IEEE 4th International Conference on Cloud Computing, 2011
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