GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds
Authors:
- Damian Fernández-Cerero,
- Agnieszka Jakóbik,
- Alejandro Fernández-Montes,
- Joanna Kołodziej
Abstract
Energy-awareness remains one of the main concerns for today's cloud computing (CC) operators. The optimisation of energy consumption in both cloud computational clusters and computing servers is usually related to scheduling problems. The definition of an optimal scheduling policy which does not negatively impact to system performance and task completion time is still challenging. In this work, we present a new simulation tool for cloud computing, GAME-SCORE, which implements a scheduling model based on the Stackelberg game. This game presents two main players: a) the scheduler and b) the energy-efficiency agent. We used the GAME-SCORE simulator to analyse the efficiency of the proposed game-based scheduling model. The obtained results show that the Stackelberg cloud scheduler performs better than static energy-optimisation strategies and can achieve a fair balance between low energy consumption and short makespan in a very short time.
- Record ID
- CUT0993b928313541ffbb057c87f7d2f723
- Publication categories
- ;
- Author
- Journal series
- Simulation Modelling Practice and Theory, ISSN 1569-190X, e-ISSN 1878-1462
- Issue year
- 2019
- Vol
- 93
- Pages
- 3-20
- Other elements of collation
- rys.; schem.; tab.; Bibliografia (na s.) - 19-20; Bibliografia (liczba pozycji) - 57; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 93
- Keywords in English
- computational cluster, energy saving, cloud computing, energy-aware scheduling, stackelberg game
- DOI
- DOI:10.1016/j.simpat.2018.09.001 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/pii/S1569190X18301229 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 100
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT0993b928313541ffbb057c87f7d2f723/
- URN
urn:pkr-prod:CUT0993b928313541ffbb057c87f7d2f723
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.