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A Cache-Based Data Movement Infrastructure for On-demand Scientific Cloud Computing
[chapter]
2019
Lecture Notes in Computer Science
As cloud computing has become the de facto standard for big data processing, there is interest in using a multi-cloud environment that combines public cloud resources with private on-premise infrastructure. However, by decentralizing the infrastructure, a uniform storage solution is required to provide data movement between different clouds to assist on-demand computing. This paper presents a solution based on our earlier work, the MeDiCI (Metropolitan Data Caching Infrastructure) architecture.
doi:10.1007/978-3-030-18645-6_3
fatcat:owc6xwtlkndfxnghwd63caxuuy