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IoT Services Configuration in Edge-Cloud Collaboration Networks
- 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.
- Subjects :
- Edge-cloud network
Optimization problem
Delay sensitive
Edge device
Computer science
business.industry
Event (computing)
Service configuration
Distributed computing
020208 electrical & electronic engineering
[SCCO.COMP]Cognitive science/Computer science
Cloud computing
02 engineering and technology
Energy consumption
computer.software_genre
Temporal constraints
0202 electrical engineering, electronic engineering, information engineering
Enhanced Data Rates for GSM Evolution
Web service
business
computer
Energy efficient
Efficient energy use
Subjects
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