Internet Scale Storage
Summary: Analyzes internet-scale data centers to identify cost drivers (power, servers, storage, cooling) and persistent state management in multi-tenant, multi-datacenter environments. Frames cloud-DB/storage research around infrastructure-cost sensitivity, arguing profitability hinges on scalable, cross-datacenter design for multi-tenant workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. James Hamilton (Amazon)
BibTeX Citation
@inproceedings{hamilton_sigmod11,
title = {{Internet Scale Storage}},
author = {Hamilton, James},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989434},
url = {https://dl.acm.org/doi/10.1145/1989323.1989434},
year = {2011}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,090 | The bionic DBMS is coming, but what will it look like? | 2013 | CIDR | 6.9096664e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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