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Authors: Paulo Souza 1 ; Ângelo Crestani 1 ; Felipe Rubin 1 ; Tiago Ferreto 1 and Fábio Rossi 2

Affiliations: 1 Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil ; 2 Federal Institute Farroupilha, Alegrete, Brazil

Keyword(s): Edge Computing, Microservices, Edge Federation, Infrastructure Providers, Service Migration.

Abstract: Edge computing has been in the spotlight for bringing data processing nearby data sources to support the requirements of latency-sensitive and bandwidth-hungry applications. Previous investigations have explored the coordination between multiple edge infrastructure providers to maximize profit while delivering enhanced applications’ performance and availability. However, existing solutions overlook potential conflicts between data protection policies implemented by infrastructure providers and security requirements of privacy-sensitive applications (e.g., databases and payment gateways). Therefore, this paper presents Argos, a heuristic algorithm that migrates applications according to their latency and privacy requirements in federated edges. Experimental results demonstrate that Argos can reduce latency and privacy issues by 16.98% and 7.95%, respectively, compared to state-of-the-art approaches.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Souza, P.; Crestani, Â.; Rubin, F.; Ferreto, T. and Rossi, F. (2022). Latency-aware Privacy-preserving Service Migration in Federated Edges. In Proceedings of the 12th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-570-8; ISSN 2184-5042, SciTePress, pages 288-295. DOI: 10.5220/0011084500003200

@conference{closer22,
author={Paulo Souza. and Ângelo Crestani. and Felipe Rubin. and Tiago Ferreto. and Fábio Rossi.},
title={Latency-aware Privacy-preserving Service Migration in Federated Edges},
booktitle={Proceedings of the 12th International Conference on Cloud Computing and Services Science - CLOSER},
year={2022},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011084500003200},
isbn={978-989-758-570-8},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Cloud Computing and Services Science - CLOSER
TI - Latency-aware Privacy-preserving Service Migration in Federated Edges
SN - 978-989-758-570-8
IS - 2184-5042
AU - Souza, P.
AU - Crestani, Â.
AU - Rubin, F.
AU - Ferreto, T.
AU - Rossi, F.
PY - 2022
SP - 288
EP - 295
DO - 10.5220/0011084500003200
PB - SciTePress

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