Availability-aware Service Placement Policy in Fog Computing Based on Graph Partitions
arXiv:2401.12690 · doi:10.1109/JIOT.2018.2889511
Abstract
This paper presents a policy for service placement of fog applications inspired on complex networks and graph theory. We propose a twofold partition process based on communities for the partition of the fog devices and based on transitive closures for the application services partition. The allocation of the services is performed sequentially by, firstly, mapping applications to device communities and, secondly, mapping service transitive closures to fog devices in the community. The underlying idea is to place as many inter-related services as possible in the most nearby devices to the users. The optimization objectives are the availability of the applications and the Quality of Service (QoS) of the system, measured as the number of requests that are executed before the application deadlines. We compared our solution with an Integer Linear Programming approach, and the simulation results showed that our proposal obtains higher QoS and availability when fails in the nodes are considered.
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Cited by in corpus (5)
- YAFS: A simulator for IoT scenarios in fog computing
- Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
- Digital Twin-Empowered Network Planning for Multi-Tier Computing
- Multilayer Resource-aware Partitioning for Fog Application Placement
- A Novel Service Deployment Policy in Fog Computing Considering The Degree of Availability and Fog Landscape Utilization Using Multiobjective Evolutionary Algorithms