FileScale Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1145/3620678.3624784
· OA: W4388041443
File systems that store metadata on a single machine or via a shared-disk abstraction face scalability challenges, especially in contexts demanding the management of billions of files. Recent work has shown that employing shared-nothing, distributed database system (DDBMS) for metadata storage can alleviate these scalability challenges without compromising on high availability guarantees. However, for low-scale deployments -- where metadata can fit in memory on a single machine -- these DDBMS-based systems typically perform an order of magnitude worse than systems that store metadata in memory on a single machine. This has limited the impact of these distributed database approaches, since they are only currently applicable to file systems of extreme scale.
