From: CoPart: a context-based partitioning technique for big data
DS | OV (%) | RP | MD | CoPart | |||
---|---|---|---|---|---|---|---|
s | Maps | s | Maps | s | Maps | ||
\(D_{1}\) | 5 | 364 | 23 | 85 | 5 | 27 | 2 |
10 | 364 | 23 | 121 | 7 | 30 | 3 | |
15 | 364 | 23 | 234 | 14 | 80 | 11 | |
25 | 370 | 23 | 299 | 18 | 122 | 15 | |
30 | 380 | 23 | 310 | 18 | 151 | 20 | |
50 | 390 | 23 | 390 | 23 | 265 | 34 | |
75 | 402 | 23 | 402 | 23 | 299 | 38 | |
\(D_{2}\) | 5 | 368 | 23 | 86 | 5 | 26 | 2 |
10 | 367 | 23 | 120 | 7 | 31 | 3 | |
15 | 377 | 23 | 236 | 14 | 99 | 16 | |
25 | 370 | 23 | 299 | 18 | 147 | 22 | |
30 | 378 | 23 | 307 | 18 | 172 | 26 | |
50 | 388 | 23 | 389 | 23 | 350 | 55 | |
75 | 401 | 23 | 402 | 23 | 380 | 58 | |
\(D_{3}\) | 5 | 374 | 23 | 85 | 5 | 23 | 1 |
10 | 374 | 23 | 187 | 7 | 26 | 2 | |
15 | 381 | 23 | 235 | 14 | 85 | 9 | |
25 | 379 | 23 | 301 | 18 | 60 | 6 | |
30 | 388 | 23 | 275 | 16 | 127 | 14 | |
50 | 426 | 23 | 415 | 23 | 219 | 24 | |
75 | 437 | 23 | 427 | 23 | 251 | 27 |