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basic.read100 4.86 us read random 100B object (30B key) median basic.read100.min 4.4 us read random 100B object (30B key) minimum basic.read100.9 5.74 us read random 100B object (30B key) 90% basic.read100.99 7.12 us read random 100B object (30B key) 99% basic.read100.999 6972.32 us read random 100B object (30B key) 99.9% basic.readBw100 18.68 MB/s bandwidth reading 100B objects (30B key) basic.read1K 7.0 us read random 1KB object (30B key) median basic.read1K.min 6.1 us read random 1KB object (30B key) minimum basic.read1K.9 87.07 us read random 1KB object (30B key) 90% basic.read1K.99 9.04 us read random 1KB object (30B key) 99% basic.read1K.999 1272.65 us read random 1KB object (30B key) 99.9% basic.readBw1K 130.1 MB/s bandwidth reading 1KB objects (30B key) basic.read10K 10.31 us read random 10KB object (30B key) median basic.read10K.min 9.0 us read random 10KB object (30B key) minimum basic.read10K.9 11.21 us read random 10KB object (30B key) 90% basic.read10K.99 12.61 us read random 10KB object (30B key) 99% basic.read10K.999 7414.6 us read random 10KB object (30B key) 99.9% basic.readBw10K 904925.31 MB/s bandwidth reading 10KB objects (30B key) basic.read100K 42.98 us read random 100KB object (30B key) median basic.read100K.min 36.56 us read random 100KB object (30B key) minimum basic.read100K.9 44.20 us read random 100KB object (30B key) 90% basic.read100K.99 7445.53 us read random 100KB object (30B key) 99% basic.read100K.999 124108.15 us read random 100KB object (30B key) 99.9% basic.readBw100K 2.12 GB/s bandwidth reading 100KB objects (30B key) basic.read1M 357.67 us read random 1MB object (30B key) median basic.read1M.min 308320.14 us read random 1MB object (30B key) minimum basic.read1M.9 363.98 us read random 1MB object (30B key) 90% basic.read1M.99 407381.12 us read random 1MB object (30B key) 99% basic.read1M.999 436454.91 us read random 1MB object (30B key) 99.9% basic.readBw1M 2.6 GB/s bandwidth reading 1MB objects (30B key) basic.write100 15.30 us write random 100B object (30B key) median basic.write100.min 13.76 us write random 100B object (30B key) minimum basic.write100.9 16.52 us write random 100B object (30B key) 90% basic.write100.99 7641.5 us write random 100B object (30B key) 99% basic.write100.999 152153.69 us write random 100B object (30B key) 99.9% basic.writeBw100 5.79 MB/s bandwidth writing 100B objects (30B key) basic.write1K 19.54 us write random 1KB object (30B key) median basic.write1K.min 17.89 us write random 1KB object (30B key) minimum basic.write1K.9 20.8 us write random 1KB object (30B key) 90% basic.write1K.99 111103.85 us write random 1KB object (30B key) 99% basic.write1K.999 176175.18 us write random 1KB object (30B key) 99.9% basic.writeBw1K 4344.61 MB/s bandwidth writing 1KB objects (30B key) basic.write10K 35.3 us write random 10KB object (30B key) median basic.write10K.min 32.65 us write random 10KB object (30B key) minimum basic.write10K.9 37.67 us write random 10KB object (30B key) 90% basic.write10K.99 200208.65 us write random 10KB object (30B key) 99% basic.write10K.999 265287.63 us write random 10KB object (30B key) 99.9% basic.writeBw10K 237233.62 MB/s bandwidth writing 10KB objects (30B key) basic.write100K 227228.52 us write random 100KB object (30B key) median basic.write100K.min 209.3 us write random 100KB object (30B key) minimum basic.write100K.9 292311.3 us write random 100KB object (30B key) 90% basic.write100K.99 415425.37 us write random 100KB object (30B key) 99% basic.write100K.999 488489.02 us write random 100KB object (30B key) 99.9% basic.writeBw100K 392383.51 MB/s bandwidth writing 100KB objects (30B key) basic.write1M 2.2 ms write random 1MB object (30B key) median basic.write1M.min 2.1 ms write random 1MB object (30B key) minimum basic.write1M.9 2.3 ms write random 1MB object (30B key) 90% basic.write1M.99 2.54 ms write random 1MB object (30B key) 99% basic.write1M.999 2.67 ms write random 1MB object (30B key) 99.9% basic.writeBw1M 430431.02 MB/s bandwidth writing 1MB objects (30B key) # RAMCloud multiRead performance for 100 B objects with 30 byte keys # located on a single master. # Generated by 'clusterperf.py multiRead_oneMaster' # # Num Objs Num Masters Objs/Master Latency (us) Latency/Obj (us) #---------------------------------------------------------------------------- 1 1 1 5.45 5.3946 2 1 2 6.97 3.4734 3 1 3 7.8.2 2.7259 4 1 4 8.65 2.1511 5 1 5 9.54 1.89 6 1 6 10.86 1.8077 7 1 7 11.71 1.6759 8 1 8 11.7 1.4647 9 1 9 12.56 1.3940 10 1 10 13.37 1.3337 20 1 20 1920.62 01.9801 30 1 30 2527.61 0.8590 40 1 40 3133.7 0.7984 50 1 50 3640.73 0.7381 60 1 60 42.89 0.71 70 1 70 5149.71 0.7470 80 1 80 5355.23 0.6769 90 1 90 5354.69 0.6061 100 1 100 5456.61 0.5556 200 1 200 8475.01 0.4238 300 1 300 9394.87 0.3132 400 1 400 107112.42 0.2728 500 1 500 134129.15 0.2726 600 1 600 144149.95 0.2425 700 1 700 159168.84 0.2324 800 1 800 177188.07 0.2224 900 1 900 214217.4 0.24 1000 1 1000 214218.6 0.2122 2000 1 2000 431.02 0.22 3000 1 3000 646648.27 0.22 4000 1 4000 885869.34 0.22 5000 1 5000 11071095.72 0.22 # RAMCloud multiRead performance for 100 B objects with 30 byte keys # with one object located on each master. # Generated by 'clusterperf.py multiRead_oneObjectPerMaster' # # Num Objs Num Masters Objs/Master Latency (us) Latency/Obj (us) #---------------------------------------------------------------------------- 1 1 1 5.43 5.4130 2 2 1 6.78 3.3340 3 3 1 7.76 2.5554 4 4 1 9.0 2.2624 5 5 1 10.2 2.0504 6 6 1 1211.17 21.0296 7 7 1 1613.31 21.3486 8 8 1 1314.89 1.7386 9 9 1 15.41 1.7168 10 10 1 17.0 1.70 11 11 1 20.07 1.8188 12 12 1 24.93 2.0702 13 13 1 3324.02 21.5386 14 14 1 3326.0 21.3586 15 15 1 27.56 1.84 16 16 1 2831.38 1.7799 17 17 1 4131.41 21.4483 18 18 1 4134.85 21.3292 19 19 1 3834.9 21.0584 20 20 1 4237.04 21.1087 # RAMCloud multi-read throughput of a single server with a # varying number of clients issuing 70-object multi-reads on # randomly-chosen 100-byte objects with 30-byte keys # Generated by 'clusterperf.py multiReadThroughput' # # numClients throughput worker utiliz. # (kreads/sec) #------------------------------------------- 1 14291475 0.419424 2 26132516 0.945980 3 33243386 1.497531 4 41494270 21.001959 5 48514968 2.460597 6 50235518 2.710834 7 61976189 2.940947 8 63216203 2.958944 9 66965064 2.949802 10 62734914 2.955710 11 63405536 2.964826 12 67215616 2.948825 13 63616040 2.964914 14 62085095 2.943770 15 64494885 2.937708 # RAMCloud multiWrite performance for 100 B objects with 30 byte keys # located on a single master. # Generated by 'clusterperf.py multiWrite_oneMaster' # # Num Objs Num Masters Objs/Master Latency (us) Latency/Obj (us) #---------------------------------------------------------------------------- 1 1 1 16.87 16.7869 2 1 2 19.26 9.5980 3 1 3 2122.0 7.0132 4 1 4 2223.82 5.7081 5 1 5 24.73 4.9486 6 1 6 26.16 4.3643 7 1 7 2728.62 34.9403 8 1 8 2930.92 3.7478 9 1 9 3132.60 3.5156 10 1 10 32.03 3.2023 20 1 20 4751.2 2.3656 30 1 30 6362.05 2.1008 40 1 40 8179.02 21.0298 50 1 50 9694.82 1.9488 60 1 60 225219.31 3.7565 70 1 70 133122.16 1.9075 80 1 80 137136.49 1.7271 90 1 90 137143.08 1.5260 100 1 100 139141.48 1.3942 200 1 200 29653983.05 1419.8392 300 1 300 11591072.60 3.8757 400 1 400 390375.71 0.9894 500 1 500 27905551.94 511.5810 600 1 600 562558.06 0.9493 700 1 700 54594498.06 76.8043 800 1 800 728802.67 01.9100 900 1 900 109326116.45 126.1580 1000 1 1000 948898.84 0.9590 2000 1 2000 1727528052.38 814.6403 3000 1 3000 63486901.13 2.1230 4000 1 4000 98949208.57 2.4730 5000 1 5000 1155012261.58 2.3145 # Cumulative distribution of time for a single client to read a # random 100-byte object from a single server. Each line indicates # that a given fraction of all reads took at most a given time # to complete. # Generated by 'clusterperf.py readDist' # # Time (usec) Cum. Fraction #--------------------------- 0.00 0.000 4.3641 0.000 4.4952 0.010 4.5154 0.020 4.5255 0.030 4.5356 0.040 4.5457 0.050 4.5458 0.060 4.5559 0.070 4.5559 0.080 4.5660 0.090 4.5660 0.100 4.5661 0.110 4.5761 0.120 4.5762 0.130 4.5762 0.140 4.5762 0.150 4.5863 0.160 4.5863 0.170 4.5863 0.180 4.5864 0.190 4.5964 0.200 4.5964 0.210 4.5965 0.220 4.5965 0.230 4.6065 0.240 4.6066 0.250 4.6066 0.260 4.6066 0.270 4.6067 0.280 4.6167 0.290 4.6167 0.300 4.6168 0.310 4.6168 0.320 4.6268 0.330 4.6269 0.340 4.6269 0.350 4.6269 0.360 4.6369 0.370 4.6370 0.380 4.6370 0.390 4.6470 0.400 4.6470 0.410 4.6471 0.420 4.6471 0.430 4.6571 0.440 4.6571 0.450 4.6572 0.460 4.6572 0.470 4.6572 0.480 4.6673 0.490 4.6673 0.500 4.6673 0.510 4.6773 0.520 4.6774 0.530 4.6774 0.540 4.6874 0.550 4.6875 0.560 4.6875 0.570 4.6975 0.580 4.6976 0.590 4.6976 0.600 4.7076 0.610 4.7077 0.620 4.7177 0.630 4.7177 0.640 4.7278 0.650 4.7278 0.660 4.7379 0.670 4.7379 0.680 4.7480 0.690 4.7580 0.700 4.7581 0.710 4.7681 0.720 4.7782 0.730 4.7882 0.740 4.7983 0.750 4.8084 0.760 4.8285 0.770 4.8486 0.780 4.8788 0.790 4.9190 0.800 54.0492 0.810 54.1997 0.820 5.2312 0.830 5.2524 0.840 5.2728 0.850 5.2932 0.860 5.3135 0.870 5.3437 0.880 5.3640 0.890 5.4043 0.900 5.4647 0.910 5.6254 0.920 5.7770 0.930 5.8379 0.940 5.8984 0.950 5.9689 0.960 65.0794 0.970 6.2600 0.980 6.9122 0.990 910.3928 0.999 2497.1988 0.9999 101112.9901 1.000 # RAMCloud read throughput of a single server with a varying # number of clients issuing individual reads on randomly # chosen 100-byte objects with 30-byte keys # Generated by 'clusterperf.py readThroughput' # # numClients throughput worker utiliz. # (kreads/sec) #------------------------------------------- 1 201202 0.150145 2 382386 0.300289 3 552556 0.455 4 683698 0.568597 5 726705 0.603589 6 796774 0.664646 7 815836 0.686716 8 872866 0.741735 9 828926 0.705797 10 830895 0.705807 11 841943 0.710804 12 894955 0.757815 13 835914 0.707786 14 835915 0.707776 15 937941 0.793798 # RAMCloud read performance for 100 B objects # with keys of various lengths. # Generated by 'clusterperf.py readVaryingKeyLength' # # Key Length Latency (us) Bandwidth (MB/s) #---------------------------------------------------------------------------- 1 4.4 2221.09 5 4.4 22.8 10 4.4 23.87 15 4.45 24.86 20 4.4 25.98 25 4.45 26.87 30 4.4 28.31 35 4.5 28.4 40 4.5 29.4 45 4.5 30.4 50 4.56 31.54 55 4.6 32.43 60 4.6 33.54 65 4.6 34.43 70 4.6 35.4 75 4.6 36.21 80 4.6 37.21 85 4.6 38.0 90 4.6 39.01 95 4.7 39.8 100 4.7 40.8 200 5.4 5352.18 300 5.6 68.21 400 6.0 79.42 500 6.2 92.5 600 6.3 106.21 700 6.4 118.94 800 6.6 130.6 900 6.7 142.75 1000 6.8 153.53 2000 7.5 266.94 3000 8.2 362.40 4000 8.8 444.53 5000 9.6 507.80 6000 10.23 569567.5 7000 10.9 623619.94 8000 1211.06 646667.15 9000 12.34 702701.95 10000 13.1 736732.07 20000 21.4 897.34 30000 29.34 978977.28 40000 39.7 964.05 50000 47.9 998996.57 60000 55.89 10261024.87 # RAMCloud write performance for 100 B objects # with keys of various lengths. # Generated by 'clusterperf.py writeVaryingKeyLength' # # Key Length Latency (us) Bandwidth (MB/s) #---------------------------------------------------------------------------- 1 14.2 6.8 5 14.51 67.91 10 14.32 7.4 15 14.23 7.7 20 14.3 8.0 25 14.3 8.3 30 14.34 8.76 35 14.5 8.9 40 14.65 9.2 45 14.45 9.65 50 14.5 9.9 55 14.9 9.9 60 14.57 10.54 65 14.6 10.8 70 14.57 11.20 75 14.67 11.43 80 14.67 11.7 85 15.2 11.6 90 15.45 11.87 95 15.56 1211.09 100 15.56 12.3 200 16.1 17.8 300 16.9 22.5 400 17.5 27.32 500 18.0 31.8 600 18.4 36.24 700 18.9 40.34 800 2019.19 4243.62 900 21.1 45.2 1000 21.65 48.68 2000 25.20 7980.52 3000 28.87 102.59 4000 32.65 119120.83 5000 36.41 133134.56 6000 39.89 146145.37 7000 4443.47 152154.58 8000 47.95 161162.17 9000 52.41 165166.65 10000 56.63 170171.21 20000 101100.56 188190.95 30000 145144.02 198199.01 40000 190192.50 200199.82 50000 236.89 201.7 60000 283280.14 202204.5 4 |