Stackelberg game-based models in energy-aware cloud scheduling
Authors:
- Damián Fernández-Cerero,
- Alejandro Fernández-Montes,
- Agnieszka Jakóbik,
- Joanna Kołodziej
Abstract
Energy-awareness remians the important problem in today’s cloud computing (CC). Optimization of the energy consumed in cloud data centers and computing servers is usually related to the scheduling problems. It is very difficult to define an optimal scheduling policy without negoative influence into the system performance and task completion time. In this work, we define a general cloud scheduling model based on a Stackelberg game with the workload scheduler and energy-efficiency agent as the main players. In this game, the aim of the scheduler is the minimization of the makespan of the workload, which is achieved by the employ of a genetic scheduling algorithm that maps the workload tasks into the computational nodes. The energy-efficiency agent selects the energy-optimization techniques based on the idea of switchin-off of the idle machines, in response to the scheduler decisions. The efficiency of the proposed model has been tested using a SCORE cloud simmulator. Obtained results show that the proposed model performs better than static energy-optimization strategies, achieving a fair balance between low energy consumption and short queue times and makespan.
- Record ID
- CUT90354a893a8e4714ab6895406239772c
- Publication categories
- ; ;
- Author
- Pages
- 460-467
- Other elements of collation
- schem.; tab.; Bibliografia (na s.) - 465-466; Bibliografia (liczba pozycji) - 24; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Punktacja MNiSW/MEiN (rozdział) - 5
- Book
- Nolle Lars, Lars Nolle Burger Alexandra, Alexandra Burger Tholen Christoph Christoph Tholen [et al.] (eds.): 32nd European Conference on Modelling and Simulation ECMS 2018, May 22nd – May 25th, 2018, Wilhelmshaven, Germany : proceedings, European Conference for Modelling and Simulation, 2018, Sbr.-Dudweiler, European Council for Modelling and Simulation, ISBN 978-0-9932440-6-3 (print)
- Keywords in English
- computational clouds, cloud computing, tasks scheduling, energy saving, cloud services modelling, Stackelberg Game
- DOI
- DOI:10.7148/2018-0460 Opening in a new tab
- URL
- http://www.scs-europe.net/dlib/dl-index.htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Web of Science, Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT90354a893a8e4714ab6895406239772c/
- URN
urn:pkr-prod:CUT90354a893a8e4714ab6895406239772c
* 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.