Performance Models for Frost Prediction in Public Cloud Infrastructures

Authors

  • Lucas E. Iacono ITIC Research Institute and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina and Universidad Nacional de Cuyo, Mendoza
  • José Luis Vázquez Poletti Departamento de Arquitectura de Computadores y Automática, Facultad de Informática, Universidad Complutense de Madrid, Madrid
  • Carlos García Garino ITIC Research Institute, Facultad de Ingeniería, Universidad Nacional de Cuyo, Mendoza
  • Ignacio Martín Llorente Departamento de Arquitectura de Computadores y Automática, Facultad de Informática, Universidad Complutense de Madrid, Madrid

Keywords:

Cloud computing, wireless sensor networks, frost prediction, virtual clusters, sensor clouds, Amazon EC2

Abstract

Sensor Clouds have opened new opportunities for agricultural monitoring. These infrastructures use Wireless Sensor Networks (WSNs) to collect data on-field and Cloud Computing services to store and process them. Among other applications of Sensor Clouds, frost prevention is of special interest among grapevine producers in the Province of Mendoza - Argentina, since frost is one of the main causes of economic loss in the province. Currently, there is a wide offer of public cloud services that can be used in order to process data collected by Sensor Clouds. Therefore, there is a need for tools to determine which instance is the most appropriate in terms of execution time and economic costs for running frost prediction applications in an isolated or cluster way. In this paper, we develop models to estimate the performance of different Amazon EC2 instances for processing frosts prediction applications. Finally, we obtain results that show which is the best instance for processing these applications.

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Author Biographies

Lucas E. Iacono, ITIC Research Institute and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina and Universidad Nacional de Cuyo, Mendoza

Posdoctoral Researcher at ITIC Institute, Universidad Nacional de Cuyo

José Luis Vázquez Poletti, Departamento de Arquitectura de Computadores y Automática, Facultad de Informática, Universidad Complutense de Madrid, Madrid

Tenure-Track Assistant Professor Universidad Complutense de Madrid

Carlos García Garino, ITIC Research Institute, Facultad de Ingeniería, Universidad Nacional de Cuyo, Mendoza

Full Professor at the School of Engineering and Head of the ITIC Research Institute, Universidad Nacional de Cuyo, Argentina.

Ignacio Martín Llorente, Departamento de Arquitectura de Computadores y Automática, Facultad de Informática, Universidad Complutense de Madrid, Madrid

Full Professor Universidad Complutense de Madrid

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Published

2018-11-07

How to Cite

Iacono, L. E., Vázquez Poletti, J. L., García Garino, C., & Llorente, I. M. (2018). Performance Models for Frost Prediction in Public Cloud Infrastructures. COMPUTING AND INFORMATICS, 37(4), 815–837. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/2018_4_815