156 lines
6.2 KiB
C++
156 lines
6.2 KiB
C++
// Copyright 2014 Marco Guazzone (marco.guazzone@gmail.com).
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// Use, modification and distribution are subject to the
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// Boost Software License, Version 1.0.
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// (See accompanying file LICENSE_1_0.txt
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// or copy at http://www.boost.org/LICENSE_1_0.txt)
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// Caution: this file contains Quickbook markup as well as code
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// and comments, don't change any of the special comment markups!
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//[hyperexponential_more_snip1
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#include <boost/math/distributions.hpp>
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#include <iostream>
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#include <string>
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struct ds_info
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{
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std::string name;
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double iat_sample_mean;
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double iat_sample_sd;
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boost::math::hyperexponential iat_he;
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double multi_lt_sample_mean;
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double multi_lt_sample_sd;
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boost::math::hyperexponential multi_lt_he;
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double single_lt_sample_mean;
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double single_lt_sample_sd;
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boost::math::hyperexponential single_lt_he;
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};
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// DS1 dataset
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ds_info make_ds1()
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{
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ds_info ds;
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ds.name = "DS1";
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// VM interarrival time distribution
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const double iat_fit_probs[] = { 0.34561,0.08648,0.56791 };
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const double iat_fit_rates[] = { 0.0008,0.00005,0.02894 };
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ds.iat_sample_mean = 2202.1;
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ds.iat_sample_sd = 2.2e+4;
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ds.iat_he = boost::math::hyperexponential(iat_fit_probs, iat_fit_rates);
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// Multi-core VM lifetime distribution
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const double multi_lt_fit_probs[] = { 0.24667,0.37948,0.37385 };
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const double multi_lt_fit_rates[] = { 0.00004,0.000002,0.00059 };
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ds.multi_lt_sample_mean = 257173;
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ds.multi_lt_sample_sd = 4.6e+5;
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ds.multi_lt_he = boost::math::hyperexponential(multi_lt_fit_probs, multi_lt_fit_rates);
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// Single-core VM lifetime distribution
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const double single_lt_fit_probs[] = { 0.09325,0.22251,0.68424 };
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const double single_lt_fit_rates[] = { 0.000003,0.00109,0.00109 };
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ds.single_lt_sample_mean = 28754.4;
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ds.single_lt_sample_sd = 1.6e+5;
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ds.single_lt_he = boost::math::hyperexponential(single_lt_fit_probs, single_lt_fit_rates);
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return ds;
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}
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// DS2 dataset
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ds_info make_ds2()
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{
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ds_info ds;
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ds.name = "DS2";
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// VM interarrival time distribution
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const double iat_fit_probs[] = { 0.38881,0.18227,0.42892 };
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const double iat_fit_rates[] = { 0.000006,0.05228,0.00081 };
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ds.iat_sample_mean = 41285.7;
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ds.iat_sample_sd = 1.1e+05;
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ds.iat_he = boost::math::hyperexponential(iat_fit_probs, iat_fit_rates);
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// Multi-core VM lifetime distribution
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const double multi_lt_fit_probs[] = { 0.42093,0.43960,0.13947 };
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const double multi_lt_fit_rates[] = { 0.00186,0.00008,0.0000008 };
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ds.multi_lt_sample_mean = 144669.0;
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ds.multi_lt_sample_sd = 7.9e+05;
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ds.multi_lt_he = boost::math::hyperexponential(multi_lt_fit_probs, multi_lt_fit_rates);
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// Single-core VM lifetime distribution
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const double single_lt_fit_probs[] = { 0.44885,0.30675,0.2444 };
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const double single_lt_fit_rates[] = { 0.00143,0.00005,0.0000004 };
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ds.single_lt_sample_mean = 599815.0;
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ds.single_lt_sample_sd = 1.7e+06;
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ds.single_lt_he = boost::math::hyperexponential(single_lt_fit_probs, single_lt_fit_rates);
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return ds;
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}
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// DS3 dataset
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ds_info make_ds3()
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{
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ds_info ds;
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ds.name = "DS3";
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// VM interarrival time distribution
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const double iat_fit_probs[] = { 0.39442,0.24644,0.35914 };
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const double iat_fit_rates[] = { 0.00030,0.00003,0.00257 };
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ds.iat_sample_mean = 11238.8;
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ds.iat_sample_sd = 3.0e+04;
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ds.iat_he = boost::math::hyperexponential(iat_fit_probs, iat_fit_rates);
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// Multi-core VM lifetime distribution
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const double multi_lt_fit_probs[] = { 0.37621,0.14838,0.47541 };
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const double multi_lt_fit_rates[] = { 0.00498,0.000005,0.00022 };
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ds.multi_lt_sample_mean = 30739.2;
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ds.multi_lt_sample_sd = 1.6e+05;
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ds.multi_lt_he = boost::math::hyperexponential(multi_lt_fit_probs, multi_lt_fit_rates);
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// Single-core VM lifetime distribution
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const double single_lt_fit_probs[] = { 0.34131,0.12544,0.53325 };
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const double single_lt_fit_rates[] = { 0.000297,0.000003,0.00410 };
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ds.single_lt_sample_mean = 44447.8;
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ds.single_lt_sample_sd = 2.2e+05;
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ds.single_lt_he = boost::math::hyperexponential(single_lt_fit_probs, single_lt_fit_rates);
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return ds;
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}
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void print_fitted(ds_info const& ds)
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{
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const double secs_in_a_hour = 3600;
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const double secs_in_a_month = 30 * 24 * secs_in_a_hour;
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std::cout << "### " << ds.name << std::endl;
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std::cout << "* Fitted Request Interarrival Time" << std::endl;
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std::cout << " - Mean (SD): " << boost::math::mean(ds.iat_he) << " (" << boost::math::standard_deviation(ds.iat_he) << ") seconds." << std::endl;
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std::cout << " - 99th Percentile: " << boost::math::quantile(ds.iat_he, 0.99) << " seconds." << std::endl;
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std::cout << " - Probability that a VM will arrive within 30 minutes: " << boost::math::cdf(ds.iat_he, secs_in_a_hour / 2.0) << std::endl;
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std::cout << " - Probability that a VM will arrive after 1 hour: " << boost::math::cdf(boost::math::complement(ds.iat_he, secs_in_a_hour)) << std::endl;
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std::cout << "* Fitted Multi-core VM Lifetime" << std::endl;
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std::cout << " - Mean (SD): " << boost::math::mean(ds.multi_lt_he) << " (" << boost::math::standard_deviation(ds.multi_lt_he) << ") seconds." << std::endl;
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std::cout << " - 99th Percentile: " << boost::math::quantile(ds.multi_lt_he, 0.99) << " seconds." << std::endl;
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std::cout << " - Probability that a VM will last for less than 1 month: " << boost::math::cdf(ds.multi_lt_he, secs_in_a_month) << std::endl;
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std::cout << " - Probability that a VM will last for more than 3 months: " << boost::math::cdf(boost::math::complement(ds.multi_lt_he, 3.0*secs_in_a_month)) << std::endl;
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std::cout << "* Fitted Single-core VM Lifetime" << std::endl;
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std::cout << " - Mean (SD): " << boost::math::mean(ds.single_lt_he) << " (" << boost::math::standard_deviation(ds.single_lt_he) << ") seconds." << std::endl;
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std::cout << " - 99th Percentile: " << boost::math::quantile(ds.single_lt_he, 0.99) << " seconds." << std::endl;
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std::cout << " - Probability that a VM will last for less than 1 month: " << boost::math::cdf(ds.single_lt_he, secs_in_a_month) << std::endl;
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std::cout << " - Probability that a VM will last for more than 3 months: " << boost::math::cdf(boost::math::complement(ds.single_lt_he, 3.0*secs_in_a_month)) << std::endl;
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}
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int main()
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{
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print_fitted(make_ds1());
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print_fitted(make_ds2());
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print_fitted(make_ds3());
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}
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//]
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