A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud
Joint Authors
Mateos, Cristian
Yannibelli, Virginia
Pacini, Elina
Monge, David
Rodriguez, Guillermo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The Cloud Computing paradigm is focused on the provisioning of reliable and scalable virtual infrastructures that deliver execution and storage services.
This paradigm is particularly suitable to solve resource-greedy scientific computing applications such as parameter sweep experiments (PSEs).
Through the implementation of autoscalers, the virtual infrastructure can be scaled up and down by acquiring or terminating instances of virtual machines (VMs) at the time that application tasks are being scheduled.
In this paper, we extend an existing study centered in a state-of-the-art autoscaler called multiobjective evolutionary autoscaler (MOEA).
MOEA uses a multiobjective optimization algorithm to determine the set of possible virtual infrastructure settings.
In this context, the performance of MOEA is greatly influenced by the underlying optimization algorithm used and its tuning.
Therefore, we analyze two well-known multiobjective evolutionary algorithms (NSGA-II and NSGA-III) and how they impact on the performance of the MOEA autoscaler.
Simulated experiments with three real-world PSEs show that MOEA gets significantly improved when using NSGA-III instead of NSGA-II due to the former provides a better exploitation versus exploration trade-off.
American Psychological Association (APA)
Yannibelli, Virginia& Pacini, Elina& Monge, David& Mateos, Cristian& Rodriguez, Guillermo. 2020. A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud. Scientific Programming،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1209028
Modern Language Association (MLA)
Yannibelli, Virginia…[et al.]. A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud. Scientific Programming No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1209028
American Medical Association (AMA)
Yannibelli, Virginia& Pacini, Elina& Monge, David& Mateos, Cristian& Rodriguez, Guillermo. A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1209028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209028