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Benchmarking Large-Scale Object Storage Servers
- Authors
- Lee, Jaemyoun; Song, Chang; Kang, Kyungtae
- Issue Date
- Jun-2016
- Publisher
- IEEE Computer Society
- Keywords
- benchmark; distributed file systems; large-scale storage systems; measurement; Object storage; performance
- Citation
- Proceedings - International Computer Software and Applications Conference, v.2, pp.594 - 595
- Indexed
- OTHER
- Journal Title
- Proceedings - International Computer Software and Applications Conference
- Volume
- 2
- Start Page
- 594
- End Page
- 595
- Abstract
- The power required to maintain a massive storage infrastructure is impractically high. Although research on the development of energy efficient storage systems has been conducted, it is still insufficient for easily comparing their performances. In this paper, we present a benchmark framework for large-scale object storage servers that is intended at facilitating performance comparisons of storage servers in terms of latency and throughput. A key design goal is extensibility so that the framework can accommodate commercial workload. For this purpose, we extend the Yahoo! Cloud Serving Benchmark (YCSB) framework such that it can interact with a Ceph object cluster and runs YCSB standard workloads on a Ceph infrastructure test bed. We report the results of insert, read, update, and delete operations in the Ceph infrastructure test bed. © 2016 IEEE.
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Related Researcher
- Kang, Kyung tae
- COLLEGE OF COMPUTING (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)