Saving cash by using less cache

Timothy Zhu; Anshul Gandhi; Mor Harchol-Balter; Michael A. Kozuch

Saving cash by using less cache

Timothy Zhu, Anshul Gandhi, Mor Harchol-Balter, Michael A. Kozuch

Computer Science and Engineering

Research output: Contribution to conference › Paper › peer-review

25 Scopus citations

Abstract

Everyone loves a large caching tier in their multitier 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.

Original language	English (US)
State	Published - 2012
Event	4th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2012 - Boston, United States Duration: Jun 12 2012 → Jun 13 2012

Conference

Conference	4th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2012
Country/Territory	United States
City	Boston
Period	6/12/12 → 6/13/12

All Science Journal Classification (ASJC) codes

Computer Science Applications
Computer Networks and Communications
Computer Science (miscellaneous)

Cite this

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title = "Saving cash by using less cache",

abstract = "Everyone loves a large caching tier in their multitier 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.",

author = "Timothy Zhu and Anshul Gandhi and Mor Harchol-Balter and Kozuch, {Michael A.}",

note = "Funding Information: ∗This work is supported by NSF CSR Grant 1116282 and an Intel ISTC grant. 1Assuming application servers cost $0.165/hr/high-cpu instance [3] and cache servers cost $0.45/hr/high-memory instance [3].; 4th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2012 ; Conference date: 12-06-2012 Through 13-06-2012",

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language = "English (US)",

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T1 - Saving cash by using less cache

AU - Zhu, Timothy

AU - Gandhi, Anshul

AU - Harchol-Balter, Mor

AU - Kozuch, Michael A.

N1 - Funding Information: ∗This work is supported by NSF CSR Grant 1116282 and an Intel ISTC grant. 1Assuming application servers cost $0.165/hr/high-cpu instance [3] and cache servers cost $0.45/hr/high-memory instance [3].

PY - 2012

Y1 - 2012

N2 - Everyone loves a large caching tier in their multitier 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.

AB - Everyone loves a large caching tier in their multitier 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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UR - http://www.scopus.com/inward/citedby.url?scp=84912138071&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84912138071

T2 - 4th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2012

Y2 - 12 June 2012 through 13 June 2012

ER -

Saving cash by using less cache

Abstract

Conference

All Science Journal Classification (ASJC) codes

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