Design and Evaluation of a Distributed Architecture for GeoSparkSim

Verónica Alba Valencia; Julio Proaño Orellana

doi:10.1007/978-981-16-4126-8_24

Design and Evaluation of a Distributed Architecture for GeoSparkSim

Verónica Alba Valencia, Julio Proaño Orellana

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

The human being throughout history has developed ways to optimize his time and resources. Nowadays, mobility is one of the biggest problems. Traffic simulation tools are frequently used to study mobility problems. GeoSparkSim is a vehicular traffic simulation tool that extends Apache Spark to generate datasets of road network traffic significantly with the simulation of microscopic traffic that includes traffic lights, change of track, and the pursuit of vehicles. This work presents an architecture to implement and evaluate the GeoSparkSim simulation tool. The architecture was developed on different containers in Docker, and two stages of the study were created for its evaluation. Each stage contains 26 simulations in different geographic zones from the Quito city. Results show the potentials of GeoSparkSim in order to study traffic mobility and compare its implementation on different Cloud services such as Google, Amazon, and Azure. In order to have an acceptable simulation, we found a machine that has at least 146 GB in storage and 8 GB in RAM is recommended.

Idioma original	Inglés
Título de la publicación alojada	Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021
Editores	Álvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	253-263
Número de páginas	11
ISBN (versión impresa)	9789811641251
DOI	https://doi.org/10.1007/978-981-16-4126-8_24
Estado	Publicada - 2022
Evento	7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online Duración: 26 may. 2021 → 28 may. 2021

Serie de la publicación

Nombre	Smart Innovation, Systems and Technologies
Volumen	252
ISSN (versión impresa)	2190-3018
ISSN (versión digital)	2190-3026

Conferencia

Conferencia	7th International Conference on Science, Technology and Innovation for Society, CITIS 2021
Ciudad	Virtual, Online
Período	26/05/21 → 28/05/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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10.1007/978-981-16-4126-8_24

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Alba Valencia, V., & Proaño Orellana, J. (2022). Design and Evaluation of a Distributed Architecture for GeoSparkSim. En Á. Rocha, P. C. López-López, & J. P. Salgado-Guerrero (Eds.), Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021 (pp. 253-263). (Smart Innovation, Systems and Technologies; Vol. 252). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-4126-8_24

Alba Valencia, Verónica ; Proaño Orellana, Julio. / Design and Evaluation of a Distributed Architecture for GeoSparkSim. Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. editor / Álvaro Rocha ; Paulo Carlos López-López ; Juan Pablo Salgado-Guerrero. Springer Science and Business Media Deutschland GmbH, 2022. pp. 253-263 (Smart Innovation, Systems and Technologies).

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title = "Design and Evaluation of a Distributed Architecture for GeoSparkSim",

abstract = "The human being throughout history has developed ways to optimize his time and resources. Nowadays, mobility is one of the biggest problems. Traffic simulation tools are frequently used to study mobility problems. GeoSparkSim is a vehicular traffic simulation tool that extends Apache Spark to generate datasets of road network traffic significantly with the simulation of microscopic traffic that includes traffic lights, change of track, and the pursuit of vehicles. This work presents an architecture to implement and evaluate the GeoSparkSim simulation tool. The architecture was developed on different containers in Docker, and two stages of the study were created for its evaluation. Each stage contains 26 simulations in different geographic zones from the Quito city. Results show the potentials of GeoSparkSim in order to study traffic mobility and compare its implementation on different Cloud services such as Google, Amazon, and Azure. In order to have an acceptable simulation, we found a machine that has at least 146 GB in storage and 8 GB in RAM is recommended.",

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doi = "10.1007/978-981-16-4126-8_24",

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Alba Valencia, V & Proaño Orellana, J 2022, Design and Evaluation of a Distributed Architecture for GeoSparkSim. En Á Rocha, PC López-López & JP Salgado-Guerrero (eds.), Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. Smart Innovation, Systems and Technologies, vol. 252, Springer Science and Business Media Deutschland GmbH, pp. 253-263, 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021, Virtual, Online, 26/05/21. https://doi.org/10.1007/978-981-16-4126-8_24

Design and Evaluation of a Distributed Architecture for GeoSparkSim. / Alba Valencia, Verónica; Proaño Orellana, Julio.
Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. ed. / Álvaro Rocha; Paulo Carlos López-López; Juan Pablo Salgado-Guerrero. Springer Science and Business Media Deutschland GmbH, 2022. p. 253-263 (Smart Innovation, Systems and Technologies; Vol. 252).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Alba Valencia, Verónica

AU - Proaño Orellana, Julio

PY - 2022

Y1 - 2022

N2 - The human being throughout history has developed ways to optimize his time and resources. Nowadays, mobility is one of the biggest problems. Traffic simulation tools are frequently used to study mobility problems. GeoSparkSim is a vehicular traffic simulation tool that extends Apache Spark to generate datasets of road network traffic significantly with the simulation of microscopic traffic that includes traffic lights, change of track, and the pursuit of vehicles. This work presents an architecture to implement and evaluate the GeoSparkSim simulation tool. The architecture was developed on different containers in Docker, and two stages of the study were created for its evaluation. Each stage contains 26 simulations in different geographic zones from the Quito city. Results show the potentials of GeoSparkSim in order to study traffic mobility and compare its implementation on different Cloud services such as Google, Amazon, and Azure. In order to have an acceptable simulation, we found a machine that has at least 146 GB in storage and 8 GB in RAM is recommended.

AB - The human being throughout history has developed ways to optimize his time and resources. Nowadays, mobility is one of the biggest problems. Traffic simulation tools are frequently used to study mobility problems. GeoSparkSim is a vehicular traffic simulation tool that extends Apache Spark to generate datasets of road network traffic significantly with the simulation of microscopic traffic that includes traffic lights, change of track, and the pursuit of vehicles. This work presents an architecture to implement and evaluate the GeoSparkSim simulation tool. The architecture was developed on different containers in Docker, and two stages of the study were created for its evaluation. Each stage contains 26 simulations in different geographic zones from the Quito city. Results show the potentials of GeoSparkSim in order to study traffic mobility and compare its implementation on different Cloud services such as Google, Amazon, and Azure. In order to have an acceptable simulation, we found a machine that has at least 146 GB in storage and 8 GB in RAM is recommended.

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Alba Valencia V, Proaño Orellana J. Design and Evaluation of a Distributed Architecture for GeoSparkSim. En Rocha Á, López-López PC, Salgado-Guerrero JP, editores, Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 253-263. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-16-4126-8_24

Design and Evaluation of a Distributed Architecture for GeoSparkSim

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