GaruaGeo: Global Scale Data Aggregation in Hybrid Edge and Cloud Computing Environments

Otávio Carvalho, Eduardo Roloff, Philippe Navaux

Abstract

The combination of Edge Computing devices and Cloud Computing resources brings the best of both worlds: Data aggregation closer to the source and scalable resources to grow the network on demand. However, the ability to leverage each time more powerful edge nodes to decentralize data processing and aggregation is still a significant challenge for both industry and academia. In this work, we extend the Garua platform to analyze the impact of a model for data aggregation in a global scale smart grid application dataset. The platform is extended to support global data aggregators that are placed nearly to the Edge nodes where data is being collected. This way, it is possible to aggregate data not only at the edge of the network but also pre-process data at nearby geographic areas, before sending data to be aggregated globally by global centralization nodes. The results of this work show that the implemented testbed application, through the usage of edge node aggregation, data aggregators geographically distributed and messaging windows, can achieve collection rates above 400 million measurements per second.

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Paper Citation


in Harvard Style

Carvalho O., Roloff E. and Navaux P. (2019). GaruaGeo: Global Scale Data Aggregation in Hybrid Edge and Cloud Computing Environments.In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-365-0, pages 437-447. DOI: 10.5220/0007734604370447


in Bibtex Style

@conference{closer19,
author={Otávio Carvalho and Eduardo Roloff and Philippe Navaux},
title={GaruaGeo: Global Scale Data Aggregation in Hybrid Edge and Cloud Computing Environments},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2019},
pages={437-447},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007734604370447},
isbn={978-989-758-365-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - GaruaGeo: Global Scale Data Aggregation in Hybrid Edge and Cloud Computing Environments
SN - 978-989-758-365-0
AU - Carvalho O.
AU - Roloff E.
AU - Navaux P.
PY - 2019
SP - 437
EP - 447
DO - 10.5220/0007734604370447