// currently, this method checks if there if a file already exists, and if so, assumes it is valid.
// ideally, a check should be made to ensure the saved SSD state matches with the state of the current global parameters
void Experiment::calibrate_and_save(Workload_Definition* workload, string name, int num_IOs, bool force) {
//string file_name = base_folder + "calibrated_state.txt";
string file_name = base_folder + name;
std::ifstream ifile(file_name.c_str());
if (ifile && !force) {
return; // file exists
}
StatisticsGatherer::set_record_statistics(false);
//StatisticsGatherer::get_global_instance()->init();
Thread::set_record_internal_statistics(false);
VisualTracer::init();
//Free_Space_Meter::init();
//Free_Space_Per_LUN_Meter::init();
printf("Creating calibrated SSD state.\n");
OperatingSystem* os = new OperatingSystem();
os->set_num_writes_to_stop_after(num_IOs);
vector<Thread*> init_threads = workload->generate_instance();
os->set_threads(init_threads);
os->set_progress_meter_granularity(1000);
os->run();
os->get_ssd()->execute_all_remaining_events();
save_state(os, file_name);
//StatisticsGatherer::get_global_instance()->print();
//Free_Space_Meter::print();
//Free_Space_Per_LUN_Meter::print();
delete os;
}
Experiment_Result Experiment::copyback_map_experiment(vector<Thread*> (*experiment)(int highest_lba), int cb_map_min, int cb_map_max, int cb_map_inc, int used_space, string data_folder, string name, int IO_limit) {
Experiment_Result experiment_result(name, data_folder, "", "Max copyback map size");
experiment_result.start_experiment();
const int num_pages = NUMBER_OF_ADDRESSABLE_BLOCKS() * BLOCK_SIZE;
for (int copyback_map_size = cb_map_min; copyback_map_size <= cb_map_max; copyback_map_size += cb_map_inc) {
int highest_lba = (int) ((double) num_pages * used_space / 100);
printf("-------------------------------------------------------\n");
printf("Experiment with %d copybacks allowed in copyback map. \n", copyback_map_size);
printf("-------------------------------------------------------\n");
MAX_ITEMS_IN_COPY_BACK_MAP = copyback_map_size;
// Run experiment
vector<Thread*> threads = experiment(highest_lba);
OperatingSystem* os = new OperatingSystem();
os->set_threads(threads);
os->set_num_writes_to_stop_after(IO_limit);
os->run();
// Collect statistics from this experiment iteration (save in csv files)
experiment_result.collect_stats(copyback_map_size);
StatisticsGatherer::get_global_instance()->print();
if (PRINT_LEVEL >= 1) {
StateVisualiser::print_page_status();
StateVisualiser::print_block_ages();
}
delete os;
}
experiment_result.end_experiment();
return experiment_result;
}
Experiment_Result Experiment::copyback_experiment(vector<Thread*> (*experiment)(int highest_lba), int used_space, int max_copybacks, string data_folder, string name, int IO_limit) {
Experiment_Result experiment_result(name, data_folder, "", "CopyBacks allowed before ECC check");
experiment_result.start_experiment();
const int num_pages = NUMBER_OF_ADDRESSABLE_BLOCKS() * BLOCK_SIZE;
for (int copybacks_allowed = 0; copybacks_allowed <= max_copybacks; copybacks_allowed += 1) {
int highest_lba = (int) ((double) num_pages * used_space / 100);
printf("---------------------------------------\n");
printf("Experiment with %d copybacks allowed.\n", copybacks_allowed);
printf("---------------------------------------\n");
MAX_REPEATED_COPY_BACKS_ALLOWED = copybacks_allowed;
// Run experiment
vector<Thread*> threads = experiment(highest_lba);
OperatingSystem* os = new OperatingSystem();
os->set_threads(threads);
os->set_num_writes_to_stop_after(IO_limit);
os->run();
// Collect statistics from this experiment iteration (save in csv files)
experiment_result.collect_stats(copybacks_allowed);
StatisticsGatherer::get_global_instance()->print();
if (PRINT_LEVEL >= 1) {
StateVisualiser::print_page_status();
StateVisualiser::print_block_ages();
}
delete os;
}
experiment_result.end_experiment();
return experiment_result;
}
void Experiment::simple_experiment_double(string name, T* var, T min, T max, T inc) {
string data_folder = base_folder + name + "/";
mkdir(data_folder.c_str(), 0755);
Experiment_Result global_result(name, data_folder, "Global/", variable_name);
global_result.start_experiment();
T& variable = *var;
for (variable = min; variable <= max; variable += inc) {
printf("----------------------------------------------------------------------------------------------------------\n");
printf("%s : %s \n", name.c_str(), to_string(variable).c_str());
printf("----------------------------------------------------------------------------------------------------------\n");
string point_folder_name = data_folder + to_string(variable) + "/";
mkdir(point_folder_name.c_str(), 0755);
if (generate_trace_file) {
VisualTracer::init(data_folder);
} else {
VisualTracer::init();
}
write_config_file(point_folder_name);
Queue_Length_Statistics::init();
Free_Space_Meter::init();
Free_Space_Per_LUN_Meter::init();
OperatingSystem* os;
if (calibrate_for_each_point && calibration_workload != NULL) {
string calib_file_name = "calib-" + to_string(variable) + ".txt";
Experiment::calibrate_and_save(calibration_workload, calib_file_name);
os = load_state(calib_file_name);
} else if (!calibration_file.empty()) {
os = load_state(calibration_file);
} else {
os = new OperatingSystem();
}
if (workload != NULL) {
vector<Thread*> experiment_threads = workload->generate_instance();
os->set_threads(experiment_threads);
}
os->set_num_writes_to_stop_after(io_limit);
os->run();
StatisticsGatherer::get_global_instance()->print();
Utilization_Meter::print();
Queue_Length_Statistics::print_avg();
Free_Space_Meter::print();
Free_Space_Per_LUN_Meter::print();
global_result.collect_stats(variable, StatisticsGatherer::get_global_instance());
write_results_file(point_folder_name);
delete os;
}
global_result.end_experiment();
vector<Experiment_Result> result;
result.push_back(global_result);
results.push_back(result);
}
void Experiment::run_single_point(string name) {
string data_folder = base_folder + name + "/";
mkdir(data_folder.c_str(), 0755);
StatisticsGatherer::set_record_statistics(true);
Thread::set_record_internal_statistics(true);
Experiment_Result global_result(name, data_folder, "Global/", "");
Individual_Threads_Statistics::init();
global_result.start_experiment();
Free_Space_Meter::init();
Free_Space_Per_LUN_Meter::init();
if (generate_trace_file) {
VisualTracer::init(data_folder);
} else {
VisualTracer::init();
}
write_config_file(data_folder);
Queue_Length_Statistics::init();
OperatingSystem* os = calibration_file.empty() ? new OperatingSystem() : load_state(calibration_file);
os->set_progress_meter_granularity(20);
if (workload != NULL) {
vector<Thread*> experiment_threads = workload->generate_instance();
os->set_threads(experiment_threads);
}
os->set_num_writes_to_stop_after(io_limit);
os->run();
StatisticsGatherer::get_global_instance()->print();
StatisticsGatherer::get_global_instance()->print_mapping_info();
//StatisticsGatherer::get_global_instance()->print_gc_info();
Utilization_Meter::print();
//Individual_Threads_Statistics::print();
//Queue_Length_Statistics::print_distribution();
//Queue_Length_Statistics::print_avg();
Free_Space_Meter::print();
Free_Space_Per_LUN_Meter::print();
global_result.collect_stats(0, StatisticsGatherer::get_global_instance());
write_results_file(data_folder);
if (!alternate_location_for_results_file.compare("") == 0) {
printf("writing results in %s\n", alternate_location_for_results_file.c_str());
write_results_file(alternate_location_for_results_file);
}
global_result.end_experiment();
vector<Experiment_Result> result;
result.push_back(global_result);
results.push_back(result);
delete os;
}
vector<Experiment_Result> Experiment::random_writes_on_the_side_experiment(Workload_Definition* workload, int write_threads_min, int write_threads_max, int write_threads_inc, string name, int IO_limit, double used_space, int random_writes_min_lba, int random_writes_max_lba) {
string data_folder = base_folder + name;
mkdir(data_folder.c_str(), 0755);
Experiment_Result global_result (name, data_folder, "Global/", "Number of concurrent random write threads");
Experiment_Result experiment_result (name, data_folder, "Experiment_Threads/", "Number of concurrent random write threads");
Experiment_Result write_threads_result(name, data_folder, "Noise_Threads/", "Number of concurrent random write threads");
global_result.start_experiment();
experiment_result.start_experiment();
write_threads_result.start_experiment();
for (int random_write_threads = write_threads_min; random_write_threads <= write_threads_max; random_write_threads += write_threads_inc) {
printf("----------------------------------------------------------------------------------------------------------\n");
printf("%s : Experiment with max %d concurrent random writes threads.\n", name.c_str(), random_write_threads);
printf("----------------------------------------------------------------------------------------------------------\n");
StatisticsGatherer* experiment_statistics_gatherer = new StatisticsGatherer();
StatisticsGatherer* random_writes_statics_gatherer = new StatisticsGatherer();
Thread* initial_write = new Asynchronous_Sequential_Writer(0, used_space);
if (workload != NULL) {
vector<Thread*> experiment_threads = workload->generate_instance();
unify_under_one_statistics_gatherer(experiment_threads, experiment_statistics_gatherer);
initial_write->add_follow_up_threads(experiment_threads);
}
for (int i = 0; i < random_write_threads; i++) {
ulong randseed = (i*3)+537;
Simple_Thread* random_writes = new Synchronous_Random_Writer(random_writes_min_lba, random_writes_max_lba, randseed);
Simple_Thread* random_reads = new Synchronous_Random_Reader(random_writes_min_lba, random_writes_max_lba, randseed+461);
/*if (workload == NULL) {
random_writes->set_experiment_thread(true);
random_reads->set_experiment_thread(true);
}*/
random_writes->set_num_ios(INFINITE);
random_reads->set_num_ios(INFINITE);
random_writes->set_statistics_gatherer(random_writes_statics_gatherer);
random_reads->set_statistics_gatherer(random_writes_statics_gatherer);
initial_write->add_follow_up_thread(random_writes);
initial_write->add_follow_up_thread(random_reads);
}
vector<Thread*> threads;
threads.push_back(initial_write);
OperatingSystem* os = new OperatingSystem();
os->set_threads(threads);
os->set_num_writes_to_stop_after(IO_limit);
os->run();
// Collect statistics from this experiment iteration (save in csv files)
global_result.collect_stats (random_write_threads, StatisticsGatherer::get_global_instance());
experiment_result.collect_stats (random_write_threads, experiment_statistics_gatherer);
write_threads_result.collect_stats(random_write_threads, random_writes_statics_gatherer);
if (workload == NULL) {
StatisticsGatherer::get_global_instance()->print();
} else {
experiment_statistics_gatherer->print();
}
//StatisticsGatherer::get_global_instance()->print();
//random_writes_statics_gatherer->print();
if (PRINT_LEVEL >= 1) {
StateVisualiser::print_page_status();
StateVisualiser::print_block_ages();
}
delete os;
delete experiment_statistics_gatherer;
delete random_writes_statics_gatherer;
}
global_result.end_experiment();
experiment_result.end_experiment();
write_threads_result.end_experiment();
vector<Experiment_Result> results;
results.push_back(global_result);
results.push_back(experiment_result);
results.push_back(write_threads_result);
if (workload != NULL)
delete workload;
return results;
}
