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Cited by 466

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Heracles: improving resource efficiency at scale

Open access
Lo, David, Cheng, Liqun, Govindaraju, Rama, Ranganathan, Parthasarathy, Kozyrakis, Christos·2015·Proceedings of the 42nd Annual International Symposium on Computer Architecture

Abstract

User-facing, latency-sensitive services, such as websearch, underutilize their computing resources during daily periods of low traffic. Reusing those resources for other tasks is rarely done in production services since the contention for shared resources can cause latency spikes that violate the service-level objectives of latency-sensitive tasks. The resulting under-utilization hurts both the affordability and energy-efficiency of large-scale datacenters. With technology scaling slowing down, it becomes important to address this opportunity.

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Metadata

Authors
Lo, D., Cheng, L., Govindaraju, R., Ranganathan, P., & Kozyrakis, C.
Venue
Proceedings of the 42nd Annual International Symposium on Computer Architecture
Publisher
ACM
Published
2015-06-13
Pages
450-462
ISSN
1063-6897 (ISSN-L)
OpenAlex
W2156077332
Cited by
466
References
47
FWCI
34.20
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Heracles: improving resource efficiency at scale. https://app.cochat.ai/papers/10.1145/2749469.2749475
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Lo, D., Cheng, L., Govindaraju, R., Ranganathan, P., & Kozyrakis, C. (2015). Heracles: improving resource efficiency at scale. Proceedings of the 42nd Annual International Symposium on Computer Architecture. https://doi.org/10.1145/2749469.2749475

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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.