The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Ensemble-level Power Management for Dense Blade Servers
Abstract
One of the key challenges for high-density servers (e.g., blades) is the increased costs in addressing the power and heat density associated with compaction. Prior approaches have mainly focused on reducing the heat generated at the level of an individual server. In contrast, this work proposes power efficiencies at a larger scale by leveraging statistical properties of concurrent resource usage across a collection of systems ("ensemble"). Specifically, we discuss an implementation of this approach at the blade enclosure level to monitor and manage the power across the individual blades in a chassis. Our approach requires low-cost hardware modifications and relatively simple software support. We evaluate our architecture through both prototyping and simulation. For workloads representing 132 servers from nine different enterprise deployments, we show significant power budget reductions at performances comparable to conventional systems.
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Cites
Managing energy and server resources in hosting centers
Chase, J. S., Anderson, D. C., Thakar, P. N., Vahdat, A. M., & Doyle, R. P. (2001) · Proceedings of the eighteenth ACM symposium on Operating systems principles · doi:10.1145/502034.502045 · Cited by 1,284
Self-citationWeb search for a planet: the google cluster architecture
Barroso, L. A., Dean, J., & Holzle, U. (2003) · IEEE Micro · doi:10.1109/mm.2003.1196112 · Cited by 1,025
A workload characterization study of the 1998 World Cup Web site
Arlitt, M., & Jin, T. (2000) · IEEE Network · doi:10.1109/65.844498 · Cited by 766
Making scheduling cool: temperature-aware workload placement in data centers
Moore, J., Chase, J., Ranganathan, P., & Sharma, R. K. (2005) · USENIX Annual Technical Conference · Cited by 651
Self-citationLoad balancing and unbalancing for power and performance in cluster-based systems
Bianchini, R., Carrera, E. V., Heath, T., & Pinheiro, E. (2001) · doi:10.7282/t3-agfw-yt73 · Cited by 479
Lebeck, A. R., Fan, X., Zeng, H., & Ellis, C. (2000) · ACM SIGPLAN Notices · doi:10.1145/356989.356999 · Cited by 370
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems
Yuan, W., & Nahrstedt, K. (2003) · ACM SIGOPS Operating Systems Review · doi:10.1145/1165389.945460 · Cited by 365
Resource overbooking and application profiling in shared hosting platforms
Urgaonkar, B., Shenoy, P., & Roscoe, T. (2002) · ACM SIGOPS Operating Systems Review · doi:10.1145/844128.844151 · Cited by 352
Energy conservation in heterogeneous server clusters
Heath, T., Diniz, B., Carrera, E. V., Meira, W., & Bianchini, R. (2005) · Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming · doi:10.1145/1065944.1065969 · Cited by 329
A dynamic disk spin-down technique for mobile computing
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A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
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Power and performance management of virtualized computing environments via lookahead control
Kusic, D., Kephart, J. O., Hanson, J. E., Kandasamy, N., & Jiang, G. (2009) · Cluster Computing · doi:10.1007/s10586-008-0070-y · Cited by 699
FAWN: a fast array of wimpy nodes
Andersen, D. G., Franklin, J., Kaminsky, M., Phanishayee, A., Tan, L., & Vasudevan, V. (2009) · Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles · doi:10.1145/1629575.1629577 · Cited by 561
Green Cloud Computing and Environmental Sustainability
Kumar, S., & Buyya, R. (2012) · Harnessing Green It · doi:10.1002/9781118305393.ch16 · Cited by 211
Characterizing Power Management Opportunities for LLMs in the Cloud
Patel, P., Choukse, E., Zhang, C., Goiri, Í., Warrier, B., Mahalingam, N., & Bianchini, R. (2024) · Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 · doi:10.1145/3620666.3651329 · Cited by 100
Metadata
- Authors
- Ranganathan, P., Leech, P., Irwin, D., & Chase, J.
- Venue
- ACM SIGARCH Computer Architecture News
- Published
- 2006-05
- Volume
- 34
- Issue
- 2
- Pages
- 66-77
- ISSN
- 0163-5964 (ISSN-L)
- OpenAlex
- W2153204735
- Cited by
- 357
- References
- 15
- FWCI
- 40.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ranganathan, P., Leech, P., Irwin, D., & Chase, J. (2006). Ensemble-level Power Management for Dense Blade Servers. ACM SIGARCH Computer Architecture News. https://doi.org/10.1145/1150019.1136492
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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.
