GRAPH-BASED FOG COMPUTING NETWORK MODEL

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DOI

Ihor PYSMENNYI

ihor.pismennyy@gmail.com

Anatolii PETRENKO

tolja.petrenko@gmail.com

Roman KYSLYI

kvrware@gmail.com

Abstract

IoT networks generate numerous amounts of data that is then transferred to the cloud for processing. Transferring data cleansing and parts of calculations towards these edge-level networks improves system’s, latency, energy consumption, network bandwidth and computational resources utilization, fault tolerance and thus operational costs. On the other hand, these fog nodes are resource-constrained, have extremely distributed and heterogeneous nature, lack horizontal scalability, and, thus, the vanilla SOA approach is not applicable to them. Utilization of Software Defined Network (SDN) with task distribution capabilities advocated in this paper addresses these issues. Suggested framework may utilize various routing and data distribution algorithms allowing to build flexible system most relevant for particular use-case. Advocated architecture was evaluated in agent-based simulation environment and proved its’ feasibility and performance gains compared to conventional event-stream approach.

Keywords:

software-defined networks, fog computing, smart sensors, IoT

References

Article Details

PYSMENNYI, I. ., PETRENKO, A. ., & KYSLYI, R. . (2020). GRAPH-BASED FOG COMPUTING NETWORK MODEL. Applied Computer Science, 16(4), 5–20. https://doi.org/10.23743/acs-2020-25