# BDS: An Efficient Spark-Based Big Data Processing Scheme for Cloud Fog-IoT Orchestration
## 4 System Model and Methodology
### Components of the Fog-IoT Hierarchical Overlay Network and BDPS Architecture
The BDPS scheme performs well considering other existing algorithms. However, for the further development of this scheme, we will focus on comparatively large scaled-up architecture and algorithmic complexity issues in future. ## 7 Conclusions

It is difficult to maintain an efficient process delivery inside a cloud-based heterogeneous fog-IoT orchestration. We created a delay-efficient process delivery strategy (i.e., BDPS) for a fog-IoT overlay tree-based hierarchical mesh architecture in this study. The performance of our delay efficient algorithmic approach, BDPS, was superior to the BF, DA, FW, and AH algorithms. The inflated BDPS method suppresses the BF, DA, FW, and AH algorithms. The overall BDPS scheme is three times more efficient in data delivery across the fog-IoT coordination. Generally, the BDPS scheme outperforms by 28% efficiencyin node execution, compared to BF, DA FW, and AH. The result employs the beneficiary outcome of the BDPS, proving the low latency of existing algorithms at almost one-fourth of DA, half of BF, and one-third of FW and AH, respectively. The histogram and box plot statistics shows the beneficiary outcome of the BDPS scheme, proving its low latency of 26 ms rather than those of other existing algorithms, redirecting 45 ms in DA, 66 ms in BF, 85 ms in FW and 80 ms in AH, respectively, while running the central cloud network as a backbone service. Data curation, N.F. and M.S. ; funding acquisition, M.W. and A.B. ; investigation, R.H., M.W. and M.J.N.M. ; methodology, R.H., M.J.I. and M.J.N.M. ; project administration, M.W. ; software, M.J.N.M. ; supervision, M.W., M.N.U. and A.B. ; visualization, N.F. ; writing--original draft, R.H., M.N.U., M.J.I. and M.J.N.M. ; writing--review and editing, M.W. and M.S. All authors have read and agreed to the published version of the manuscript. This research is funded through the \"ICT Innovation Fund (2016-17): ICT Division, Bangladesh\" and also partially supported through the Australian Research Council Discovery Project: DP190100314. Not applicable. ## References

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