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Evaluation techniques for storage hierarchies
Abstract
Increasing speed and size demands on computer systems have resulted in corresponding demands on storage systems. Since it has been generally recognized that the speed and capacity requirements of storage systems cannot be fulfilled at an acceptable costperformance level within any single technology, storage hierarchies that use a variety of technologies have been investigated.
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Citations
Cited by
Evaluating associativity in CPU caches
Hill, M. D., & Smith, A. J. (1989) · IEEE Transactions on Computers · doi:10.1109/12.40842 · Cited by 606
Denning, P. J. (1980) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1980.230464 · Cited by 396
Agarwal, A., Hennessy, J., & Horowitz, M. (1989) · ACM Transactions on Computer Systems · doi:10.1145/63404.63407 · Cited by 304
Outperforming LRU with an adaptive replacement cache algorithm
Megiddo, N., & Modha, D. S. (2004) · Computer · doi:10.1109/mc.2004.1297303 · Cited by 243
Rethinking Serverless Keep-Alive by Decoupling Eviction Priority From Execution State
Gong, Y., Cai, X., Sang, Q., Lu, T., Hu, C., & Cheng, D. (2026) · IEEE Transactions on Computers · doi:10.1109/tc.2026.3699453
Metadata
- Authors
- Mattson, R. L., Gecsei, J., Slutz, D. R., & Traiger, I. L.
- Venue
- IBM Systems Journal
- Publisher
- IBM
- Published
- 1970
- Volume
- 9
- Issue
- 2
- Pages
- 78-117
- ISSN
- 0018-8670 (ISSN-L)
- OpenAlex
- W2164705534
- Cited by
- 1,302
- References
- 0
- FWCI
- 47.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Evaluation techniques for storage hierarchies. https://app.cochat.ai/papers/10.1147/sj.92.0078
- The paper
- Mattson, R. L., Gecsei, J., Slutz, D. R., & Traiger, I. L. (1970). Evaluation techniques for storage hierarchies. IBM Systems Journal. https://doi.org/10.1147/sj.92.0078
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
