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Context-aware routing in fog computing systems
Publikationstyp
Journal Article
Publikationsdatum
2021-08-06
Sprache
English
Enthalten in
Volume
11
Issue
1
Citation
IEEE Transactions on Cloud Computing 11: 532-549 (2023)
Publisher DOI
Scopus ID
Publisher
IEEE
Fog computing enables the execution of IoT applications on compute nodes which reside both in the cloud and at the edge of the network. To achieve this, most fog computing systems route the IoT data on a path which starts at the data source, and goes through various edge and cloud nodes. Each node on this path may accept the data if there are available resources to process this data locally. Otherwise, the data is forwarded to the next node on path. Notably, when the data is forwarded (rather than accepted), the communication latency increases by the delay to reach the next node. To avoid this, we propose a routing mechanism which maintains a history of all nodes that have accepted data of each context in the past. By processing this history, our mechanism sends the data directly to the closest node that tends to accept data of the same context. This lowers the forwarding by nodes on path, and can reduce the communication latency. We evaluate this approach using both prototype- and simulation-based experiments which show reduced communication latency (by up to 23%) and lower number of hops traveled (by up to 73%), compared to a state-of-the-art method.
Schlagworte
Cloud computing
Computational modeling
Context-aware
Data models
Edge computing
Edge computing
Fog computing
Internet of Things
Internet of Things
IoT applications
Logic gates
Routing