Improving Energy Consumption by Using DVFS
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-38501-9_12
Reference15 articles.
1. Huai, W., Huang, W., Jin, S., Qian, Z.: Towards energy efficient scheduling for online tasks in cloud data centers based on DVFS. In: 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 225–232. IEEE (2015)
2. Ruan, X., Qin, X., Zong, Z., Bellam, K., Nijim, M.: An energy-efficient scheduling algorithm using dynamic voltage scaling for parallel applications on clusters. In: Proceedings of 16th International Conference on Computer Communications and Networks, ICCCN 2007, pp. 735–740. IEEE (2007)
3. Lai, Z., Lam, K.T., Wang, C.-L., Su, J., Yan, Y., Zhu, W.: Latency-aware dynamic voltage and frequency scaling on many-core architectures for data-intensive applications. In: 2013 International Conference on Cloud Computing and Big Data (CloudCom-Asia), pp. 78–83. IEEE (2013)
4. Huai, W., Qian, Z., Li, X., Lu, S.: Towards energy efficient data centers: a DVFS-based request scheduling perspective. In: 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 299–306. IEEE (2013)
5. Iyapparaja, M., et al.: Coupling and cohesion metrics in Java for adaptive reusability risk reduction. In: IET Chennai 3rd International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2012), pp. 52–57 (2012)
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