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MAPX: Controlled Data Migration in the Expansion of Decentralized Object-Based Storage Systems

Li Wang, Yiming Zhang, Jiawei Xu, Guangtao Xue

2020Year
29Citations
5Top-tier citations

Abstract

Data placement is critical for the scalability of decentralized object-based storage systems. The state-of-the-art CRUSH placement method is a decentralized algorithm that deterministically places object replicas onto storage devices without relying on a central directory. While enjoying the benefits of decentralization such as high scalability, robustness, and performance, CRUSH-based storage systems suffer from uncontrolled data migration when expanding the clusters, which will cause significant performance degradation when the expansion is nontrivial.

This paper presents MAPX, a novel extension to CRUSH that uses an extra time-dimension mapping (from object creation times to cluster expansion times) for controlled data migration in cluster expansions. Each expansion is viewed as a new layer of the CRUSH map represented by a virtual node beneath the CRUSH root. MAPX controls the mapping from objects onto layers by manipulating the timestamps of the intermediate placement groups (PGs). MAPX is applicable to a large variety of object-based storage scenarios where object timestamps can be maintained as higher-level metadata. For example, we apply MAPX to Ceph-RBD by extending the RBD metadata structure to maintain and retrieve approximate object creation times at the granularity of expansions layers. Experimental results show that the MAPX-based migration-free system outperforms the CRUSH-based system (which is busy in migrating objects after expansions) by up to 4.25× in the tail latency.

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