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Saving Cash by Using Less Cache
| 12 Tuesday | 13 Wednesday | 14 Thursday | 15 Friday |
|---|---|---|---|
| HotCloud '12 | TaPP '12 | ||
| WiAC '12 | USENIX ATC '12 | ||
| UCMS '12 | HotStorage '12 | NSDR '12 | |
| USENIX Cyberlaw '12 | WebApps '12 |
||
Timothy Zhu, Anshul Gandhi, and Mor Harchol-Balter, Carnegie Mellon University; Michael A. Kozuch, Intel Labs
Everyone loves a large caching tier in their multi-tier cloud-based web service because it both alleviates database load and provides lower request latencies. Even when load drops severely, administrators are reluctant to scale down their caching tier. This paper makes the case that (i) scaling down the caching tier is viable with respect to performance, and (ii) the savings are potentially huge; e.g., a 4x drop in load can result in 90% savings in the caching tier size.
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author = {Timothy Zhu and Anshul Gandhi and Mor Harchol-Balter and Michael A. Kozuch},
title = {Saving Cash by Using Less Cache},
booktitle = {4th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 12)},
year = {2012},
address = {Boston, MA},
url = {https://www.usenix.org/conference/hotcloud12/workshop-program/presentation/zhu},
publisher = {USENIX Association},
month = jun
}
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