adjusted lambda for inter arrival time
Signed-off-by: Tuan-Dat Tran <tuan-dat.tran@tudattr.dev>master
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,access_count,hits,misses,mu,lambda,hit_rate
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1,63,57,6,5.399654088863246,1,90.91
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2,66,60,6,4.890335658893015,1,86.54
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3,52,45,7,4.375444630275031,1,93.75
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4,48,45,3,1.358965695760079,1,40.0
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5,10,4,6,7.946779823996088,5,93.9
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6,82,77,5,3.18260808979361,1,80.65
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7,31,25,6,5.605947602976087,2,66.67
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8,6,4,2,3.5941156596303507,21,91.67
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9,72,66,6,3.8666443154519476,1,89.09
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10,55,49,6,3.9010358263416967,1,78.38
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11,37,29,8,3.956909570230068,2,93.62
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12,47,44,3,1.730567205003155,1,83.93
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13,56,47,9,5.904039737486446,1,92.06
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14,63,58,5,6.0088737342639815,1,79.31
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15,29,23,6,7.357737678743373,2,60.0
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16,5,3,2,1.450213741204231,9,37.5
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17,8,3,5,5.826606789353313,8,66.67
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18,15,10,5,9.95812133184028,3,77.78
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19,36,28,8,7.712014479036094,2,91.25
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20,80,73,7,4.633712335874409,1,81.4
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21,43,35,8,7.911648101723665,1,82.05
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22,39,32,7,7.3654252444495425,1,92.54
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23,67,62,5,2.2670795468704905,1,85.19
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24,54,46,8,8.134847295147168,1,94.92
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25,59,56,3,1.2117597080749123,1,80.77
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26,26,21,5,3.3524134464900266,2,91.67
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27,60,55,5,2.7158732876992437,1,87.88
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28,66,58,8,4.804077627549259,1,92.31
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29,65,60,5,4.2833971305094645,1,80.0
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30,35,28,7,9.583225049197923,2,91.8
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31,61,56,5,3.53247508842331,1,40.0
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32,5,2,3,9.558530824564308,25,72.73
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33,22,16,6,8.094454978234637,3,86.67
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34,60,52,8,8.888543618416357,1,94.03
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35,67,63,4,2.453624754290659,1,76.19
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36,21,16,5,3.806350449396821,3,86.44
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37,59,51,8,7.129451257264811,1,0.0
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38,4,0,4,5.744097564369153,9,87.84
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39,74,65,9,8.55536941450684,1,94.34
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40,53,50,3,2.0343384453691136,1,83.05
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41,59,49,10,9.397972944585163,1,63.64
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42,11,7,4,6.121601715336887,5,50.0
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43,10,5,5,4.851318863875822,6,97.06
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44,34,33,1,1.1351296943911597,2,92.19
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45,64,59,5,4.125874686055022,1,87.84
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46,74,65,9,9.358024125232479,1,89.8
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47,49,44,5,2.4843778719133423,1,86.27
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48,51,44,7,7.286472514468783,1,97.83
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49,46,45,1,1.004347586977225,1,86.27
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50,51,44,7,9.455432928862624,1,56.25
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51,16,9,7,8.86206095462283,4,89.33
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52,75,67,8,8.07417789759667,1,86.79
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53,53,46,7,3.0669146526063695,1,87.72
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54,57,50,7,3.2235153877813585,1,88.06
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55,67,59,8,4.968519133955913,1,76.0
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56,25,19,6,6.100212072996646,2,0.0
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57,1,0,1,5.7982474925454675,28,87.76
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58,49,43,6,6.981561582145566,1,81.82
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59,33,27,6,3.884026094257262,2,90.48
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60,21,19,2,1.4233483791426025,3,87.93
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61,58,51,7,5.338026073258696,1,84.85
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62,33,28,5,3.660265149660588,2,50.0
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63,10,5,5,9.767449091292056,5,95.0
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64,60,57,3,1.201834548613872,1,91.07
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65,56,51,5,4.987309597274194,1,61.54
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66,13,8,5,8.525418306404905,4,91.38
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67,58,53,5,6.3843811037941745,1,76.19
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68,21,16,5,5.159531220600393,2,86.21
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69,29,25,4,8.23605831735192,2,80.0
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70,25,20,5,6.466763192894339,3,0.0
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71,3,0,3,4.350935520897277,19,86.79
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72,53,46,7,9.80846133788532,1,96.67
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73,60,58,2,1.1679092884069515,1,66.67
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74,3,2,1,1.18334302651572,34,91.18
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75,68,62,6,1.983734112137778,1,79.31
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76,29,23,6,3.103107885085463,2,90.62
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77,64,58,6,3.5224268491508823,1,87.72
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78,57,50,7,7.146369144646693,1,94.92
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79,59,56,3,1.629455019599476,1,64.29
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80,14,9,5,5.643369483405839,4,93.33
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81,15,14,1,1.1732603718777255,4,74.19
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82,31,23,8,7.1503989550318225,2,86.21
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83,58,50,8,8.797436025155585,1,80.0
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84,25,20,5,1.9671577189537692,2,86.89
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85,61,53,8,9.617953205825893,1,91.78
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86,73,67,6,3.326125890288469,1,96.36
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87,55,53,2,1.1485674376739077,1,65.0
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88,20,13,7,7.033453848869293,3,70.0
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89,20,14,6,2.980219690735362,2,94.2
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90,69,65,4,1.9069516378037399,1,84.21
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91,57,48,9,7.690296524981362,1,66.67
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92,3,2,1,6.794130441019814,13,72.0
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93,25,18,7,4.972131019351156,3,44.44
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94,9,4,5,8.769662570180895,7,86.79
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95,53,46,7,4.07981809741165,1,90.77
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96,65,59,6,7.308754805712177,1,77.42
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97,31,24,7,3.0787732999641575,2,98.15
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98,54,53,1,1.515769438886239,1,86.67
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99,45,39,6,4.25741567806571,1,28.57
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10
note.md
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note.md
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@ -1,6 +1,7 @@
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System Design
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# Age Caching Simulation
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Client -> TTL Cache -> Database
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Client -> TTL Cache -> Database
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Capacity C
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Capacity C (C = n (example: 100))
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TTL increases on cache hit
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TTL increases on cache hit
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Age of information / Age of the entry in the cache
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Age of information / Age of the entry in the cache
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@ -18,7 +19,4 @@ lambda(i) is zipf distribution describing the rate the client requests the objec
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Inter arrival time of each object => exponential
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Inter arrival time of each object => exponential
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We need
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Hit rate and the average age of the object based on TTL
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Hit rate and the average age of the object based on TTL and
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C = n (example: 100)
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