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Authors: Rosangela de Fátima Pereira Marquesone 1 ; Érico Augusto da Silva 1 ; Nelson Mimura Gonzalez 1 ; Karen Langona 1 ; Walter Akio Goya 1 ; Fernando Frota Redígolo 1 ; Tereza Cristina Melo de Brito Carvalho 1 ; Jan-Erik Mångs 2 and Azimeh Sefidcon 2

Affiliations: 1 Escola Politecnica and University of São Paulo, Brazil ; 2 Ericsson Research, Sweden

Keyword(s): Fog Computing, Bandwidth Optimization, Video Surveillance.

Abstract: The continuous growth of data created by Internet-connected devices has been posing a challenge for mobile operators. The increase in the network traffic has exceeded the network capacity to efficiently provide services, specially for applications that require low latency. Edge computing is a concept that allows lowering the network traffic by using cloud-computing resources closer to the devices that either consume or generate data. Based on this concept, we designed an architecture that offers a mechanism to reduce bandwidth consumption. The proposed solution is capable of intercepting the data, redirecting it to a processing node that is allocated between the end device and the server, in order to apply features that reduce the amount of data on the network. The architecture has been validated through a prototype using video surveillance. This area of application was selected due to the high bandwidth requirement to transfer video data. Results show that in the best scenario is po ssible to obtain about 97% of bandwidth gain, which can improve the quality of services by offering better response times. (More)

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Paper citation in several formats:
Marquesone, R.; da Silva, É.; Gonzalez, N.; Langona, K.; Goya, W.; Frota Redígolo, F.; Carvalho, T.; Mångs, J. and Sefidcon, A. (2017). Towards Bandwidth Optimization in Fog Computing using FACE Framework. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 491-498. DOI: 10.5220/0006303804910498

@conference{closer17,
author={Rosangela de Fátima Pereira Marquesone. and Érico Augusto {da Silva}. and Nelson Mimura Gonzalez. and Karen Langona. and Walter Akio Goya. and Fernando {Frota Redígolo}. and Tereza Cristina Melo de Brito Carvalho. and Jan{-}Erik Mångs. and Azimeh Sefidcon.},
title={Towards Bandwidth Optimization in Fog Computing using FACE Framework},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={491-498},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006303804910498},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - Towards Bandwidth Optimization in Fog Computing using FACE Framework
SN - 978-989-758-243-1
IS - 2184-5042
AU - Marquesone, R.
AU - da Silva, É.
AU - Gonzalez, N.
AU - Langona, K.
AU - Goya, W.
AU - Frota Redígolo, F.
AU - Carvalho, T.
AU - Mångs, J.
AU - Sefidcon, A.
PY - 2017
SP - 491
EP - 498
DO - 10.5220/0006303804910498
PB - SciTePress

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