Abstract
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.
Keywords
MSC
37M05, 97R30
Cite this article
@article{cai-2245,
author = {Xuan Thi Tran and Tien Van Do and Binh Thai Vu},
title = {New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters},
journal = {Computing and Informatics},
volume = {36},
number = {2},
pages = {307--330},
year = {2017},
issn = {1335-9150},
doi = {10.4149/cai_2017_2_307}
}
TY - JOUR AU - Xuan Thi Tran AU - Tien Van Do AU - Binh Thai Vu TI - New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters JO - Computing and Informatics VL - 36 IS - 2 SP - 307 EP - 330 PY - 2017 SN - 1335-9150 DO - 10.4149/cai_2017_2_307 UR - https://doi.org/10.4149/cai_2017_2_307 KW - Heterogeneous resources KW - computational cluster KW - common queue model KW - real-time load ER -
Tran, X. T., Do, T. V., & Vu, B. T. (2017). New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters. Computing and Informatics, 36(2), 307–330. https://doi.org/10.4149/cai_2017_2_307