Title :
MetaStorage: A Federated Cloud Storage System to Manage Consistency-Latency Tradeoffs
Author :
Bermbach, David ; Klems, Markus ; Tai, Stefan ; Menzel, Michael
Author_Institution :
Inst. of Appl. Inf. & Formal Description Methods (AIFB, Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
Abstract :
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.
Keywords :
cloud computing; storage management; Amazon Dynamo mechanism; cloud storage providers; consistency-latency tradeoff management; cross-provider replication; distributed hash table; federated cloud storage system; metastorage; traditional quorum configuration; vendor lock-in effect; Availability; Business; Cloud computing; Generators; Google; Scalability; Sea measurements; Cloud Computing; Cloud Storage; Data storage systems; Distributed Computing; Distributed Databases; Faul tolerance; Fault tolerant systems; Middleware; Redundancy; Vendor Lock-in; Web services;
Conference_Titel :
Cloud Computing (CLOUD), 2011 IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-0836-7
Electronic_ISBN :
2159-6182
DOI :
10.1109/CLOUD.2011.62