# Comprehensive Comparison of VNE Solutions Based on Different Coordination Approaches
## 6 Conclusions and Future Work
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline  & & & & & & & & & \\ \hline \multirow{2}{*}{**Scenario ID**} & **Number** & **Nodes** & **CPU** & **BW** & **Number** & **Total** & **Density** & **Absolute** & **Relative** \\  & **of VNRs** & **per VNR** & **Cycles** & **Units** & **of Links** & **Demand** & **Index** & **Intensity Index** & **Intensity Index** \\ \hline s-id1 & 20 & 10 & 15 & 15 & 166 & 5490 & 0.5 & 2745 & 0.0227 \\ \hline s-id2 & 20 & 10 & 15 & 30 & 166 & 7980 & 0.5 & 3990 & 0.0330 \\ \hline s-id3 & 20 & 10 & 15 & 50 & 166 & 11,300 & 0.5 & 5650 & 0.0468 \\ \hline s-id4 & 20 & 10 & 15 & 70 & 166 & 14,620 & 0.5 & 7310 & 0.0605 \\ \hline s-id5 & 20 & 10 & 30 & 15 & 166 & 8490 & 0.5 & 4245 & 0.0351 \\ \hline s-id6 & 20 & 10 & 30 & 30 & 166 & 10,980 & 0.5 & 5490 & 0.0455 \\ \hline s-id7 & 20 & 10 & 30 & 50 & 166 & 14,300 & 0.5 & 7150 & 0.0592 \\ \hline s-id8 & 20 & 10 & 30 & 70 & 166 & 17,620 & 0.5 & 8810 & 0.0729 \\ \hline s-id9 & 20 & 10 & 50 & 15 & 166 & 12,490 & 0.5 & 6245 & 0.0517 \\ \hline s-id10 & 20 & 10 & 50 & 30 & 166 & 14,980 & 0.5 & 7490 & 0.0620 \\ \hline s-id11 & 20 & 10 & 50 & 50 & 166 & 18,300 & 0.5 & 9150 & 0.0758 \\ \hline s-id12 & 20 & 10 & 50 & 70 & 166 & 21,620 & 0.5 & 10,810 & 0.0895 \\ \hline s-id13 & 20 & 10 & 70 & 15 & 166 & 16,490 & 0.5 & 8245 & 0.0683 \\ \hline s-id14 & 20 & 10 & 70 & 30 & 166 & 18,980 & 0.5 & 9490 & 0.0786 \\ \hline s-id15 & 20 & 10 & 70 & 50 & 166 & 22,300 & 0.5 & 11,150 & 0.0923 \\ \hline s-id16 & 20 & 10 & 70 & 70 & 166 & 25,620 & 0.5 & 12,810 & 0.1061 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: RII of R-VINE-PS in the few–large parameter configuration. fication, an approach not encountered in the VNE-oriented literature to the best of our knowledge. It produced new measurable results for unexplored territory with respect to the studied established VNE strategies and regarding the key points addressed in Section 3.4. Moreover, our proposed algorithm offers another baseline of comparison between VNE solutions as well as the beginning of a new class of mixed coordination strategies that reap the benefits of more than one coordination category. Nevertheless, this research should be furthered, and the next milestones are still to be set. The development of a contestant to the two stages coordination solution based on its unique non-negative distance attribute (see Section 3.2.1) is a goal for future work. Furthermore, a research for a novel VLM driven solution, integrated with the routing algebra functionality and enriched with isotonicity and monotonicity is the key to extending the scope of our study. Conceptualization, S.P., P.K. and P.T. ; methodology, P.K. and P.T. ; software, S.P., V.N. and P.T. ; validation, S.P., P.K. and P.T. ; investigation, S.P. ; resources, P.K. and P.T. ; data curation, S.P. and V.N. ; writing--original draft preparation, S.P. ; writing--review and editing, S.P., P.K. and P.T. ; supervision, P.K. and P.T. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Comprehensive Comparison of VNE Solutions Based on Different Coordination Approaches. IEEE Dataport. [[https://dx.doi.org/10.21227/ft0t-tk36](https://dx.doi.org/10.21227/ft0t-tk36)]([https://dx.doi.org/10.21227/ft0t-tk36](https://dx.doi.org/10.21227/ft0t-tk36)). This work is partially supported by University of West Attika. The authors declare no conflict of interest.