Enterprises are moving their IT infrastructure to cloud ser-vice providers with the goal of saving costs and simplify-ing management overhead. One of the critical services for any enterprise is its file system, where users require real-time access to files. Cloud service providers provide several building blocks such as Amazon EBS, or Azure Cache, each with very different pricing structures that differ on the basis of storage, access and bandwidth costs. Moving an entire file system to the cloud using such sen-ices is not cost-optimal if we rely on only one of these services. In this paper, we pro-pose FCFS, a storage solution that drastically reduces the cost of operating a file system in the cloud. Our solution integrates multiple storage services and dynamically adapts the storage volume sizes of each service to provide a cost-efficient solution with provable performance bounds. Using real-world large scale data sets spanning a variety of work loads from an enterprise data center, we show that FCFS can reduce file storage and access costs in current cloud services by a factor of two or more, while allowing users to utilize the benefits of the various cloud storage services.
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