IEICE TRANSACTIONS on Information
SLA-Based Scheduling of Bag-of-Tasks Applications on Power-Aware Cluster Systems
Summary :
Power-aware scheduling problem has been a recent issue in cluster systems not only for operational cost due to electricity cost, but also for system reliability. In this paper, we provide SLA-based scheduling algorithms for bag-of-tasks applications with deadline constraints on power-aware cluster systems. The scheduling objective is to minimize power consumption as long as the system provides the service levels of users. A bag-of-tasks application should finish all the sub-tasks before the deadline as the service level. We provide the power-aware scheduling algorithms for both time-shared and space-shared resource sharing policies. The simulation results show that the proposed algorithms reduce much power consumption compared to static voltage schemes.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.12 pp.3194-3201
- Publication Date
- 2010/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.3194
- Type of Manuscript
- Special Section PAPER (Special Section on Parallel and Distributed Computing and Networking)
- Category
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Kyong Hoon KIM, Wan Yeon LEE, Jong KIM, Rajkumar BUYYA, "SLA-Based Scheduling of Bag-of-Tasks Applications on Power-Aware Cluster Systems" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 12, pp. 3194-3201, December 2010, doi: 10.1587/transinf.E93.D.3194.
Abstract: Power-aware scheduling problem has been a recent issue in cluster systems not only for operational cost due to electricity cost, but also for system reliability. In this paper, we provide SLA-based scheduling algorithms for bag-of-tasks applications with deadline constraints on power-aware cluster systems. The scheduling objective is to minimize power consumption as long as the system provides the service levels of users. A bag-of-tasks application should finish all the sub-tasks before the deadline as the service level. We provide the power-aware scheduling algorithms for both time-shared and space-shared resource sharing policies. The simulation results show that the proposed algorithms reduce much power consumption compared to static voltage schemes.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3194/_p
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@ARTICLE{e93-d_12_3194,
author={Kyong Hoon KIM, Wan Yeon LEE, Jong KIM, Rajkumar BUYYA, },
journal={IEICE TRANSACTIONS on Information},
title={SLA-Based Scheduling of Bag-of-Tasks Applications on Power-Aware Cluster Systems},
year={2010},
volume={E93-D},
number={12},
pages={3194-3201},
abstract={Power-aware scheduling problem has been a recent issue in cluster systems not only for operational cost due to electricity cost, but also for system reliability. In this paper, we provide SLA-based scheduling algorithms for bag-of-tasks applications with deadline constraints on power-aware cluster systems. The scheduling objective is to minimize power consumption as long as the system provides the service levels of users. A bag-of-tasks application should finish all the sub-tasks before the deadline as the service level. We provide the power-aware scheduling algorithms for both time-shared and space-shared resource sharing policies. The simulation results show that the proposed algorithms reduce much power consumption compared to static voltage schemes.},
keywords={},
doi={10.1587/transinf.E93.D.3194},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - SLA-Based Scheduling of Bag-of-Tasks Applications on Power-Aware Cluster Systems
T2 - IEICE TRANSACTIONS on Information
SP - 3194
EP - 3201
AU - Kyong Hoon KIM
AU - Wan Yeon LEE
AU - Jong KIM
AU - Rajkumar BUYYA
PY - 2010
DO - 10.1587/transinf.E93.D.3194
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2010
AB - Power-aware scheduling problem has been a recent issue in cluster systems not only for operational cost due to electricity cost, but also for system reliability. In this paper, we provide SLA-based scheduling algorithms for bag-of-tasks applications with deadline constraints on power-aware cluster systems. The scheduling objective is to minimize power consumption as long as the system provides the service levels of users. A bag-of-tasks application should finish all the sub-tasks before the deadline as the service level. We provide the power-aware scheduling algorithms for both time-shared and space-shared resource sharing policies. The simulation results show that the proposed algorithms reduce much power consumption compared to static voltage schemes.
ER -
English
