The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Energy Efficient Resource Management in Virtualized Cloud Data Centers
Abstract
Rapid growth of the demand for computational power by scientific, business and web-applications has led to the creation of large-scale data centers consuming enormous amounts of electrical power. We propose an energy efficient resource management system for virtualized Cloud data centers that reduces operational costs and provides required Quality of Service (QoS). Energy savings are achieved by continuous consolidation of VMs according to current utilization of resources, virtual network topologies established between VMs and thermal state of computing nodes. We present first results of simulation-driven evaluation of heuristics for dynamic reallocation of VMs using live migration according to current requirements for CPU performance. The results show that the proposed technique brings substantial energy savings, while ensuring reliable QoS. This justifies further investigation and development of the proposed resource management system.
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Citations
Cites
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Cited by
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
Data Center Energy Consumption Modeling: A Survey
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Resource Management in Clouds: Survey and Research Challenges
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Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing
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(2017) · Networked Systems Design and Implementation · Cited by 329
Metadata
- Authors
- Beloglazov, A., & Buyya, R.
- Venue
- 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
- Publisher
- IEEE
- Published
- 2010
- Pages
- 826-831
- OpenAlex
- W2159081109
- Cited by
- 760
- References
- 21
- FWCI
- 28.33
- Type
- conference paper
- Language
- en
- Open access
- closed
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