Latency-aware Privacy-preserving Service Migration in Federated Edges

Paulo Souza, Ângelo Crestani, Felipe Rubin, Tiago Ferreto, Fábio Rossi

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: CLOSER, ISBN 978-989-758-570-8, pages 288-295. DOI: 10.5220/0011084500003200

in Bibtex Style

@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 - Volume 1: CLOSER,},
year={2022},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011084500003200},
isbn={978-989-758-570-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Latency-aware Privacy-preserving Service Migration in Federated Edges
SN - 978-989-758-570-8
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