New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters

Year, pages: 2017, 307 - 330

In this paper, we propose new real-time measurement-based scheduling algorithms to achieve a trade-off between the energy efficiency and the performance capability of computational clusters. An investigation is performed using a specific scenario of computing clusters with realistic parameters. Numerical results show that a trade-off between the performance and the energy efficiency can be controlled by the proposed algorithms.

Tran, X., Do, T., Vu, B. 2017. New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters. In Computing and Informatics, vol. 36, no.2, pp. 307-330. 1335-9150. DOI: https://doi.org/10.4149/cai_2017_2_307

Tran, X., Do, T., Vu, B. (2017). New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters. Computing and Informatics, 36(2), 307-330. 1335-9150. DOI: https://doi.org/10.4149/cai_2017_2_307