# A Framework for Enhancing Big Data Integration in Biological Domain Using Distributed Processing
## 5 Results and Discussion
### Test Cases 1 and 2: Big Data Integration Framework
#### 5.1.2 Distributed Data Integration
\begin{table}
\begin{tabular}{l l l l l l l l l l} \hline \hline  & \multicolumn{2}{l}{**Ontology**} & \multicolumn{2}{l}{**Affided**} & \multicolumn{2}{l}{**Skipped**} & \multicolumn{2}{l}{**Overlapped**} & \multicolumn{2}{l}{**Ontology**} & \multicolumn{1}{l}{**Edges**} & \multicolumn{1}{l}{**Vertices**} & \multicolumn{1}{l}{**Roots**} \\  & \multicolumn{2}{l}{**before**} & \multicolumn{1}{l}{**Items**} & \multicolumn{1}{l}{**Roots**} & \multicolumn{1}{l}{**Items**} & \multicolumn{1}{l}{**Item**} & \multicolumn{1}{l}{**Item**} & \multicolumn{1}{l}{**Size after**} & \multicolumn{1}{l}{**Effections**} & \multicolumn{1}{l}{**Vertices**} & \multicolumn{1}{l}{**Roots**} \\ \hline \hline \multicolumn{10}{c}{Results of adding gene2 go} \\ \hline Master & 36,639 & 55,964 & 1 & 1 & 12,350 & 92,604 & 239,470 & 148,568 & 4 \\ Slave 1 & 14,281 & 8,279 & 1 & 47,743 & 12,350 & 22,561 & 59,222 & 32,433 & 434 \\ Slave 2 & 12,343 & 16,023 & 1 & 39,999 & 12,350 & 28,367 & 70,995 & 45,036 & 692 \\ Slave 3 & 15,827 & 44,012 & 1 & 12,010 & 12,350 & 59,840 & 156,785 & 104,797 & 123 \\ \hline \hline \multicolumn{10}{c}{Results of adding gene info} \\ \hline Master & 92,604 & 55,964 & 1 & 1 & 12,350 & 148,569 & 295,435 & 148,569 & 5 \\ Slave 1 & 22,561 & 8,279 & 1 & 48,369 & 12,350 & 30,841 & 67,502 & 32,434 & 435 \\ Slave 2 & 28,367 & 16,023 & 1 & 40,625 & 12,350 & 44,391 & 87,019 & 45,037 & 693 \\ Slave 3 & 59,840 & 44,012 & 1 & 12,636 & 12,350 & 103,853 & 200,798 & 104,798 & 124 \\ \hline \hline \multicolumn{10}{c}{Results of adding gene\_neighbors} \\ \hline Master & 148,569 & 55,964 & 1 & 1 & 12,349 & 204,534 & 407,364 & 204,534 & 6 \\ Slave 1 & 30,841 & 8,279 & 1 & 48,369 & 12,349 & 39,121 & 84,061 & 40,714 & 436 \\ Slave 2 & 44,391 & 16,023 & 1 & 40,625 & 12,349 & 60,415 & 119,066 & 61,061 & 694 \\ Slave 3 & 103,853 & 44,012 & 1 & 12,636 & 12,349 & 147,866 & 288,823 & 148,811 & 125 \\ \hline \hline \multicolumn{10}{c}{Results of adding gene2 pubmed} \\ \hline Master & 204,534 & 55,964 & 1 & 1 & 12,349 & 260,499 & 519,293 & 260,499 & 7 \\ Slave 1 & 39,121 & 8,279 & 1 & 48,369 & 12,349 & 47,401 & 100,620 & 48,994 & 437 \\ Slave 2 & 60,415 & 16,023 & 1 & 40,625 & 12,349 & 76,439 & 151,113 & 77,085 & 695 \\ Slave 3 & 147,866 & 44,012 & 1 & 12,636 & 12,349 & 191,879 & 376,848 & 192,824 & 126 \\ \hline \hline \multicolumn{10}{c}{Results of adding gene2 ensemb} \\ \hline Master & 260,499 & 55,964 & 1 & 1 & 12,349 & 316,464 & 631,222 & 316,464 & 8 \\ Slave 1 & 47,401 & 8,279 & 1 & 48,369 & 12,349 & 55,681 & 117,179 & 57,274 & 438 \\ Slave 2 & 76,439 & 16,023 & 1 & 40,625 & 12,349 & 92,463 & 183,160 & 93,109 & 696 \\ Slave 3 & 191,879 & 44,012 & 1 & 12,636 & 12,349 & 235,892 & 464,873 & 236,837 & 127 \\ \hline \hline \multicolumn{10}{c}{Results of adding gene2 sts} \\ \hline Master & 316,464 & 56,647 & 1 & 1 & 11,112 & 373,112 & 744,517 & 403,954 & 9 \\ Slave 1 & 55,681 & 8,220 & 1 & 47,984 & 11,112 & 63,902 & 133,620 & 73,061 & 439 \\ Slave 2 & 92,463 & 15,894 & 1 & 40,310 & 11,112 & 108,358 & 214,949 & 123,144 & 697 \\ Slave 3 & 235,892 & 43,646 & 1 & 12,558 & 11,112 & 279,539 & 552,166 & 311,612 & 127 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Results of adding input sample files in the case of 3 slaves. not solve our problem all the time, since data growth will never be expected nor stop. When we have high performance computing (HPC), we may complete the test at a lower time, but using the enhanced SSMs on the HPC will improve the performance, because of our proposed method of introducing parallel and distributed processing.