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IoT Services Configuration in Edge-Cloud Collaboration Networks

Authors :
Mengyu Sun
Zhangbing Zhou
School of Information Engineering [Beijing]
China University of Geosciences [Beijing]
Département Informatique (INF)
Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)
Institut Polytechnique de Paris (IP Paris)
Source :
ICWS, 2020 IEEE International Conference on Web Services (ICWS), ICWS 2020: IEEE International Conference on Web Services, ICWS 2020: IEEE International Conference on Web Services, Oct 2020, Beijing (online), China. pp.468-472, ⟨10.1109/ICWS49710.2020.00069⟩
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

International audience; The edge-cloud collaboration networks have been applied to support delay-sensitive Internet of Things (IoT) applications, where applications are represented in terms of service compositions. In this setting, IoT services should be configured mostly at the network edge, and they are offloaded to the cloud only when the capacity of edge nodes can hardly meet the requirement. To solve this problem, this paper proposes to configure IoT services with temporal constraints discovered from event logs. Service configuration is reduced to a constrained multi-objective optimization problem, which can be solved by an improved non-dominated sorting genetic algorithm II. Experimental results demonstrate the efficiency of this technique in comparison with baseline techniques on delay sensitivity and energy consumption.

Details

Database :
OpenAIRE
Journal :
2020 IEEE International Conference on Web Services (ICWS)
Accession number :
edsair.doi.dedup.....fc2163c13359f2669aeb222743711758
Full Text :
https://doi.org/10.1109/icws49710.2020.00069