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The case for RAMClouds: scalable high-performance storage entirely in DRAM
Abstract
Disk-oriented approaches to online storage are becoming increasingly problematic: they do not scale gracefully to meet the needs of large-scale Web applications, and improvements in disk capacity have far outstripped improvements in access latency and bandwidth. This paper argues for a new approach to datacenter storage called RAMCloud, where information is kept entirely in DRAM and large-scale systems are created by aggregating the main memories of thousands of commodity servers. We believe that RAMClouds can provide durable and available storage with 100-1000x the throughput of disk-based systems and 100-1000x lower access latency. The combination of low latency and large scale will enable a new breed of dataintensive applications.
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Cites
(2007) · doi:10.1145/1294261.1294281 · Cited by 3,447
Cited by
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Berde, P., Gerola, M., Hart, J., Higuchi, Y., Kobayashi, M., Koide, T., Lantz, B., O'Connor, B., Radoslavov, P., Snow, W., et al. (2014) · Proceedings of the third workshop on Hot topics in software defined networking · doi:10.1145/2620728.2620744 · Cited by 1,118
Self-citationTrinity: a distributed graph engine on a memory cloud
Shao, B., Wang, H., & Li, Y. (2013) · Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data · doi:10.1145/2463676.2467799 · Cited by 432
In-Memory Big Data Management and Processing: A Survey
Zhang, H., Chen, G., Ooi, B. C., Tan, K.-L., & Zhang, M. (2015) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2015.2427795 · Cited by 414
Metadata
- Authors
- Ousterhout, J., Agrawal, P., Erickson, D., Kozyrakis, C., Leverich, J., Mazières, D., Mitra, S., Narayanan, A., Parulkar, G., Rosenblum, M., Rumble, S. M., Stratmann, E., & Stutsman, R.
- Venue
- ACM SIGOPS Operating Systems Review
- Published
- 2010-01-27
- Volume
- 43
- Issue
- 4
- Pages
- 92-105
- ISSN
- 0163-5980 (ISSN-L)
- OpenAlex
- W2144518192
- Cited by
- 447
- References
- 1
- FWCI
- 57.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ousterhout, J., Agrawal, P., Erickson, D., Kozyrakis, C., Leverich, J., Mazières, D., Mitra, S., Narayanan, A., Parulkar, G., Rosenblum, M., Rumble, S. M., Stratmann, E., & Stutsman, R. (2010). The case for RAMClouds: scalable high-performance storage entirely in DRAM. ACM SIGOPS Operating Systems Review. https://doi.org/10.1145/1713254.1713276
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.