Artículo
Abstract:
Cloud Computing is the delivery of on-demand computing resources over the Internet on a pay-per-use basis and is very useful to execute scientific experiments such as parameter sweep experiments (PSEs). When PSEs are executed it is important to reduce both the makespan and monetary cost. We propose a novel tri-objective formulation for the PSEs autoscaling problem considering unreliable virtual machines (VM) pursuing the minimization of makespan, monetary cost and probability of failures. We also propose a new autoscaler based on the Non-dominated Sorting Genetic Algorithm II able to automatically determine the right amount for each type of VM and pricing scheme, as well as the bid prices for the spot instances. Experiments show that the proposed autoscaler achieves great improvements in terms of makespan and cost when it is compared against Scaling First and Spot Instances Aware Autoscaling. © 2017 Elsevier Ltd.
Registro:
| Documento: | Artículo |
| Título: | Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances |
| Autor: | Monge, D.A.; Pacini, E.; Mateos, C.; García Garino, C. |
| Filiación: | ITIC-CONICET. Mendoza, Argentina Facultad de Ciencias Exactas y Naturales - UNCuyo University Mendoza, Argentina Facultad de Ingeniería - UNCuyo University Mendoza, Argentina ISISTAN-UNICEN-CONICET. Tandil, Buenos Aires, Argentina |
| Palabras clave: | Autoscaling; Evolutive algorithms; Multi-objective optimization; Parameter sweeping; Cloud computing; Costs; Economics; Genetic algorithms; Multiobjective optimization; Network security; Optimization; Virtual machine; Autoscaling; Evolutive algorithms; Monetary costs; Non-dominated sorting genetic algorithm - ii; On-demand computing; Parameter sweeping; Probability of failure; Scientific experiments; Parameter estimation |
| Año: | 2017 |
| DOI: | http://dx.doi.org/10.1016/j.compeleceng.2017.12.007 |
| Título revista: | Computers and Electrical Engineering |
| Título revista abreviado: | Comput Electr Eng |
| ISSN: | 00457906 |
| CODEN: | CPEEB |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00457906_v_n_p_Monge |
Citas:
---------- APA ----------
Monge, D.A., Pacini, E., Mateos, C. & García Garino, C. (2017) . Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances. Computers and Electrical Engineering.http://dx.doi.org/10.1016/j.compeleceng.2017.12.007
---------- CHICAGO ----------
Monge, D.A., Pacini, E., Mateos, C., García Garino, C. "Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances" . Computers and Electrical Engineering (2017).http://dx.doi.org/10.1016/j.compeleceng.2017.12.007
---------- MLA ----------
Monge, D.A., Pacini, E., Mateos, C., García Garino, C. "Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances" . Computers and Electrical Engineering, 2017.http://dx.doi.org/10.1016/j.compeleceng.2017.12.007
---------- VANCOUVER ----------
Monge, D.A., Pacini, E., Mateos, C., García Garino, C. Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances. Comput Electr Eng. 2017.http://dx.doi.org/10.1016/j.compeleceng.2017.12.007
