Energy Consumption Survey on Cloud Environment
Keywords:
Cloud Data Centers, Energy Consumption, Green CloudAbstract
Today’s users prefer pay-per-use internet services. Cloud computing provides this service. Thus, the use of cloud services has gradually become more widespread. Clouds offer services like file sharing, file storage, data backup. Online database Flexibility reduced administrative burden, scalability. However, there is too much energy use. In the paper, various factors are explained.
References
1. Energy Star https://www.energystar.gov
2. C. Belady, “The green grid data center power efficiency metrics: PUE and DCiE White paper: Metrics & Measurements, (2007).
3. Intel whitepaper “Wireless Intel SpeedStep Power Manager: optimizing power consumption for the Intel PXA27x processor familyâ€.
4. P. Mell and T. Grance, “The nist definition of cloud computing (draft),†2011. [Online]. Available: http:// csrc.nist.gov/ publications/PubsSPs.html#800-145
5. A. V. Dastjerdi, S. G. H. Tabatabaei, R. Buyya, “A dependency- aware ontology-based approach for deploying service level agreement monitoring services in cloud,†Softw. - Practice Experience, vol. 42, no. 7, pp. 501–518, 2011.
6. Z. Shen, S. Subbiah, X. Gu, J. Wilkes, “Cloudscale: Elastic resource scaling for multi-tenant cloud systems,†pp.
1–14, 2011. [Online]. Available: http://dl.acm.org/ citation.cfm? doid=2038916.2038921.
7. L. Luo, W. Wu, D. Di, F. Zhang, Y. Yan and Y. Mao, “A Resource Scheduling Algorithm of Cloud Computing based on Energy Efficient Optimization Methodsâ€, IEEE Green Computing Conference (IGCC), 2012 International, (2012) June 4-8, San Jose, CA, pp. 1 – 6.
8. C. Belady, “The green grid data center power efficiency metrics: PUE and DCiEâ€, White paper: Metrics & Measurements, (2007).
9. “AMD PowerNow!â„¢ Technology: dynamically manages power andperformanceâ€, Informational white paper.
10. X. Changjiu, L. Yung-Hsiang and L. Zhiyuan, “Energy- Aware Scheduling for Real-Time Multiprocessor Systems with Uncertain Task Execution Timeâ€, Proc. 44th Annual Conf. Design Automation, San Diego, USA, (2007) June, pp. 664– 669, ACM.
2. C. Belady, “The green grid data center power efficiency metrics: PUE and DCiE White paper: Metrics & Measurements, (2007).
3. Intel whitepaper “Wireless Intel SpeedStep Power Manager: optimizing power consumption for the Intel PXA27x processor familyâ€.
4. P. Mell and T. Grance, “The nist definition of cloud computing (draft),†2011. [Online]. Available: http:// csrc.nist.gov/ publications/PubsSPs.html#800-145
5. A. V. Dastjerdi, S. G. H. Tabatabaei, R. Buyya, “A dependency- aware ontology-based approach for deploying service level agreement monitoring services in cloud,†Softw. - Practice Experience, vol. 42, no. 7, pp. 501–518, 2011.
6. Z. Shen, S. Subbiah, X. Gu, J. Wilkes, “Cloudscale: Elastic resource scaling for multi-tenant cloud systems,†pp.
1–14, 2011. [Online]. Available: http://dl.acm.org/ citation.cfm? doid=2038916.2038921.
7. L. Luo, W. Wu, D. Di, F. Zhang, Y. Yan and Y. Mao, “A Resource Scheduling Algorithm of Cloud Computing based on Energy Efficient Optimization Methodsâ€, IEEE Green Computing Conference (IGCC), 2012 International, (2012) June 4-8, San Jose, CA, pp. 1 – 6.
8. C. Belady, “The green grid data center power efficiency metrics: PUE and DCiEâ€, White paper: Metrics & Measurements, (2007).
9. “AMD PowerNow!â„¢ Technology: dynamically manages power andperformanceâ€, Informational white paper.
10. X. Changjiu, L. Yung-Hsiang and L. Zhiyuan, “Energy- Aware Scheduling for Real-Time Multiprocessor Systems with Uncertain Task Execution Timeâ€, Proc. 44th Annual Conf. Design Automation, San Diego, USA, (2007) June, pp. 664– 669, ACM.
Published
2023-10-17
Issue
Section
Review Article
