The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
Open accessAbstract
The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular. HPC users need the ability to gain rapid and scalable access to high-end computing capabilities. Cloud computing promises to deliver such a computing infrastructure using data centers so that HPC users can access applications and data from a Cloud anywhere in the world on demand and pay based on what they use. However, the growing demand drastically increases the energy consumption of data centers, which has become a critical issue. High energy consumption not only translates to high energy cost which will reduce the profit margin of Cloud providers, but also high carbon emissions which are not environmentally sustainable. Hence, there is an urgent need for energy-efficient solutions that can address the high increase in the energy consumption from the perspective of not only the Cloud provider, but also from the environment. To address this issue, we propose near-optimal scheduling policies that exploit heterogeneity across multiple data centers for a Cloud provider. We consider a number of energy efficiency factors (such as energy cost, carbon emission rate, workload, and CPU power efficiency) which change across different data centers depending on their location, architectural design, and management system. Our carbon/energy based scheduling policies are able to achieve on average up to 25% of energy savings in comparison to profit based scheduling policies leading to higher profit and less carbon emissions.
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
(1979) · Cited by 43,841
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009) · Future Generation Computer Systems · doi:10.1016/j.future.2008.12.001 · Cited by 5,937
Self-citationStoring and querying ordered XML using a relational database system
Tatarinov, I., Viglas, S. D., Beyer, K., Shanmugasundaram, J., Shekita, E., & Zhang, C. (2002) · Proceedings of the 2002 ACM SIGMOD international conference on Management of data · doi:10.1145/564691.564715 · Cited by 2,235
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
Braun, T. D., Siegel, H. J., Beck, N., Bölöni, L. L., Maheswaran, M., Reuther, A. I., Robertson, J. P., Theys, M. D., Yao, B., Hensgen, D., et al. (2001) · Journal of Parallel and Distributed Computing · doi:10.1006/jpdc.2000.1714 · Cited by 1,722
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
Real-time dynamic voltage scaling for low-power embedded operating systems
Pillai, P., & Shin, K. G. (2001) · Proceedings of the eighteenth ACM symposium on Operating systems principles · doi:10.1145/502034.502044 · Cited by 1,138
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
Ibarra, Ó. H., & Kim, C. E. (1977) · Journal of the ACM · doi:10.1145/322003.322011 · Cited by 798
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
Managing server energy and operational costs in hosting centers
Chen, Y., Das, A., Qin, W., Sivasubramaniam, A., Wang, Q., & Gautam, N. (2005) · Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems · doi:10.1145/1064212.1064253 · Cited by 556
Cited by
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Beloglazov, A., Buyya, R., Lee, Y. C., & Zomaya, A. (2011) · Advances in Computers · doi:10.1016/b978-0-12-385512-1.00003-7 · Cited by 777
Self-citationGreen Cloud Computing and Environmental Sustainability
Kumar, S., & Buyya, R. (2012) · Harnessing Green It · doi:10.1002/9781118305393.ch16 · Cited by 211
Self-citationMethodology for energy aware adaptive management of virtualized data centers
Cioara, T., Anghel, I., & Salomie, I. (2017) · Energy Efficiency · doi:10.1007/s12053-016-9467-2 · Cited by 8
Metadata
- Authors
- Garg, S. K., Yeo, C. S., Anandasivam, A., & Buyya, R.
- Venue
- Journal of Parallel and Distributed Computing
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 71
- Issue
- 6
- Pages
- 732-749
- ISSN
- 0743-7315 (ISSN-L)
- OpenAlex
- W2099787804
- Cited by
- 300
- References
- 28
- FWCI
- 65.06
- Type
- journal article
- Language
- en
- Open access
- green
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: Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers. https://app.cochat.ai/papers/10.1016/j.jpdc.2010.04.004
- The paper
- Garg, S. K., Yeo, C. S., Anandasivam, A., & Buyya, R. (2011). Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers. Journal of Parallel and Distributed Computing. https://doi.org/10.1016/j.jpdc.2010.04.004
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.
