The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Energy efficient utilization of resources in cloud computing systems
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Case for Energy-Proportional Computing
Barroso, L. A., & Hölzle, U. (2007) · Computer · doi:10.1109/mc.2007.443 · Cited by 2,491
Power provisioning for a warehouse-sized computer
Fan, X., Weber, W.-D., & Barroso, L. A. (2007) · Proceedings of the 34th annual international symposium on Computer architecture · doi:10.1145/1250662.1250665 · Cited by 1,797
PowerNap: eliminating server idle power
Meisner, D., Gold, B. T., & Wenisch, T. F. (2009) · Proceedings of the 14th international conference on Architectural support for programming languages and operating systems · doi:10.1145/1508244.1508269 · Cited by 901
Energy aware consolidation for cloud computing
Srikantaiah, S., Kansal, A., & Zhao, F. (2008) · Cited by 784
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
VirtualPower: coordinated power management in virtualized enterprise systems
Nathuji, R., & Schwan, K. (2007) · Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles · doi:10.1145/1294261.1294287 · Cited by 606
Tang, Q., Gupta, S. K. S., & Varsamopoulos, G. (2008) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2008.111 · Cited by 481
Power reduction techniques for microprocessor systems
Venkatachalam, V., & Franz, M. (2005) · ACM Computing Surveys · doi:10.1145/1108956.1108957 · Cited by 390
Zhu, D. K., Melhem, R., & Childers, B. R. (2003) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2003.1214320 · Cited by 361
The Case for Power Management in Web Servers
Bohrer, P., Elnozahy, E. N., Keller, T., Kistler, M., Lefurgy, C., McDowell, C., & Rajamony, R. (2002) · Series in Computer Science · doi:10.1007/978-1-4757-6217-4_14 · Cited by 331
Cited by
Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing
Gai, K., Qiu, M., Zhao, H., Tao, L., & Zong, Z. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.05.016 · Cited by 489
Kim, H., Choi, H., Kang, H., An, J., Yeom, S., & Hong, T. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.110755 · Cited by 367
Hunterplus: ai based energy-efficient task scheduling for cloud–fog computing environments
Iftikhar, S., Ahmad, M. M. M., Tuli, S., Chowdhury, D., Xu, M., Gill, S. S., & Uhlig, S. (2023) · Internet of Things · doi:10.1016/j.iot.2022.100667 · Cited by 153
Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach
Kansal, N. J., & Chana, I. (2016) · Journal of Grid Computing · doi:10.1007/s10723-016-9364-0 · Cited by 151
GRVMP: A Greedy Randomized Algorithm for Virtual Machine Placement in Cloud Data Centers
Azizi, S., Shojafar, M., Abawajy, J., & Buyya, R. (2021) · IEEE Systems Journal · doi:10.1109/jsyst.2020.3002721 · Cited by 80
Metadata
- Authors
- Lee, Y. C., & Zomaya, A. Y.
- Venue
- The Journal of Supercomputing
- Published
- 2010-03-19
- Volume
- 60
- Issue
- 2
- Pages
- 268-280
- ISSN
- 0920-8542 (ISSN-L)
- 1573-0484
- OpenAlex
- W2074070386
- Cited by
- 647
- References
- 14
- FWCI
- 66.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Energy efficient utilization of resources in cloud computing systems. https://app.cochat.ai/papers/10.1007/s11227-010-0421-3
- The paper
- Lee, Y. C., & Zomaya, A. Y. (2012). Energy efficient utilization of resources in cloud computing systems. The Journal of Supercomputing. https://doi.org/10.1007/s11227-010-0421-3
Data sources
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.
