## 7 Conclusions  
This research presented a novel reliable cloud data storage system using a hybrid heuristic algorithm. As the existing algorithms consider the components and VMs for storing the data, they fail with respect to the general and specific constraints. The general constraints were defined as the instances and interactions among the components. Further, the constraints were identified with allocation rules and the device's capacity. To combat such constraints, the novel HP-BOA was proposed. With the help of the HP-BOA, the components were optimized. Thus, it could resolve the issues while storing the cloud data in the components. Finally, the performance was validated and compared with the classical models. A comparative and statistical evaluation was performed to ensure the system's effectiveness. While using the third configuration case, the computational time was 36.6% for HHO, 13.3% for the FFA, 50% for the POA, and 56.6% for the BOA, respectively, which were more than that of the HP-BOA. Thus, the proposed system yielded an empirical value that provided adequate storage performance.  
\begin{table}
\begin{tabular}{l c c c c c} \hline \hline
**Metrics** & **HHO [(39)]** & **FFA [(40)]** & **POA [(37)]** & **BOA [(41)]** & **HP-BOA** \\ \hline \multicolumn{6}{c}{Configuration Case 1} \\ \hline Best & 394 & 396 & 391 & 393 & 390 \\ Worst & 9394 & 7565 & 1416 & 6407 & 5660 \\ Mean & 1318 & 1470.1 & 1211.9 & 1288.9 & 1100.7 \\ Median & 1024 & 1005 & 1416 & 1044 & 1258 \\ Standard deviation & 994.31 & 1006.9 & 410.32 & 1235.5 & 940.81 \\ \hline \multicolumn{6}{c}{Configuration Case 2} \\ \hline Best & 399 & 391 & 391 & 398 & 380 \\ Worst & 6394 & 3256 & 6643 & 4797 & 4432 \\ Mean & 1399.8 & 1326 & 1138.6 & 1447.6 & 1283.2 \\ Median & 1205 & 1211 & 1063 & 1317 & 1347 \\ Standard deviation & 983.39 & 624.81 & 780.01 & 1014.3 & 801.4 \\ \hline \multicolumn{6}{c}{Configuration Case 3} \\ \hline Best & 380 & 341 & 360 & 380 & 330 \\ Worst & 4846 & 3535 & 2618 & 3693 & 8641 \\ Mean & 1554.4 & 1397.7 & 1091.4 & 1229.9 & 1074.6 \\ Median & 1032 & 1319 & 1120 & 1140 & 1069 \\ Standard deviation & 1031.8 & 606.98 & 514.42 & 818.39 & 1163.9 \\ \hline \multicolumn{6}{c}{Configuration Case 4} \\ \hline Best & 396 & 395 & 399 & 398 & 390 \\ Worst & 2701 & 4409 & 5456 & 8372 & 1495 \\ Mean & 1146.1 & 1398.5 & 1213.6 & 1129.1 & 947.01 \\ Median & 1040 & 1131 & 1252 & 1111 & 1120 \\ Standard deviation & 445.34 & 759.31 & 976.67 & 1053.2 & 500.62 \\ \hline \hline \end{tabular}
\end{table}
Table 3: Statistical evaluation, based on the percentage (%) value, of the reliable cloud data storage compared over the conventional algorithms.  
**Author Contributions:** All authors contributed equally to the research and wrote the article. The conceptualization, methodology, and writing--original draft were performed by [PERSON] The supervision and direction are performed by [PERSON] and [PERSON]. [PERSON], [PERSON] and [PERSON] performed the detailed investigation, formal analysis, and coordination. The funding acquisition and resources were provided by K.-I.K. B.H.L. took part in the writing--reviewing, and editing. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This research received no external funding.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** No new data were created in this study. Data sharing is not applicable to this article.  
**Acknowledgments:** This work was supported by Chungnam National University.  
**Conflicts of Interest:** The authors declare no conflict of interest.