fix(simulation): Fixed expected age calculation
Signed-off-by: Tuan-Dat Tran <tuan-dat.tran@tudattr.dev>
This commit is contained in:
@@ -179,7 +179,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 13,
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"id": "bd4536e9-273b-4f49-b06c-2f00605e0f7d",
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"metadata": {},
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"outputs": [],
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@@ -200,7 +200,7 @@
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" # Compute the objective function\n",
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" objective = objective_function(optimized_hitrates, c_f, c_delta, lambda_vals)\n",
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"\n",
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" return (objective, optimized_ttl, db_object_count, cache_size, c_f, c_delta)\n",
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" return (objective, optimized_ttl, db_object_count, cache_size, c_f, c_delta, optimized_hitrates)\n",
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"\n",
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"# Perform grid search with parallelization and tqdm progress bar\n",
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"def grid_search(db_object_counts, cache_sizes, c_f_values, c_delta_values):\n",
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@@ -219,14 +219,14 @@
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" results.append(result)\n",
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" \n",
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" # Convert the results into a pandas DataFrame\n",
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" df = pd.DataFrame(results, columns=[\"Objective\", \"Optimal TTL\", \"db_object_count\", \"cache_size\", \"c_f (Miss Cost)\", \"c_delta (Refresh Cost)\"])\n",
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" df = pd.DataFrame(results, columns=[\"Objective\", \"Optimal TTL\", \"db_object_count\", \"cache_size\", \"c_f (Miss Cost)\", \"c_delta (Refresh Cost)\", \"optimized_hitrates\"])\n",
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" \n",
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" return df\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 14,
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"id": "a92c6772-6609-41a8-a3d1-4d640b69a864",
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"metadata": {},
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"outputs": [
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@@ -235,18 +235,17 @@
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"output_type": "stream",
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"text": [
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"[Parallel(n_jobs=-1)]: Using backend LokyBackend with 12 concurrent workers.\n",
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"[Parallel(n_jobs=-1)]: Done 26 tasks | elapsed: 0.7s\n",
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"[Parallel(n_jobs=-1)]: Done 1420 tasks | elapsed: 1.3s\n",
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"[Parallel(n_jobs=-1)]: Done 55524 tasks | elapsed: 1.2min\n",
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"[Parallel(n_jobs=-1)]: Done 64152 out of 64152 | elapsed: 2.6min finished\n"
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"[Parallel(n_jobs=-1)]: Done 26 tasks | elapsed: 0.4s\n",
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"[Parallel(n_jobs=-1)]: Done 1420 tasks | elapsed: 0.7s\n",
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"[Parallel(n_jobs=-1)]: Done 64152 out of 64152 | elapsed: 1.4min finished\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"CPU times: user 53 s, sys: 1.26 s, total: 54.3 s\n",
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"Wall time: 3min 24s\n"
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"CPU times: user 42 s, sys: 731 ms, total: 42.7 s\n",
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"Wall time: 2min 5s\n"
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]
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}
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],
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@@ -272,7 +271,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 15,
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"id": "e79e6ed1-d6a5-4b04-a2b2-b3f0984e0fbe",
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"metadata": {},
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"outputs": [
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@@ -285,9 +284,10 @@
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"Optimal TTL [inf, inf, inf, inf, inf, inf, inf, inf, inf, ...\n",
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"db_object_count 10\n",
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"cache_size 10.0\n",
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"c_f (Miss Cost) 1.5\n",
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"c_f (Miss Cost) 0.7\n",
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"c_delta (Refresh Cost) 0.01\n",
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"Name: 2448, dtype: object\n"
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"optimized_hitrates [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, ...\n",
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"Name: 2376, dtype: object\n"
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]
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}
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],
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@@ -300,10 +300,37 @@
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"print(best_row)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "95af94b4-05c0-488c-9561-50fc4e7cc3d4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(0.049999999999999996,\n",
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" array([inf, inf, inf, inf, inf, inf, inf, inf, inf, inf]),\n",
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" 10,\n",
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" 10,\n",
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" 1.5,\n",
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" 0.01,\n",
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" array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]))"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"grid_search_task(10, 10, 1.5, 0.01)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "924fd9c4-6670-4cf4-93a7-b1484111b333",
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"id": "20c943b4-b32b-4294-949b-0f3abe2fb97a",
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"metadata": {},
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"outputs": [],
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"source": []
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1721291
01_nb_cncf_optimization/objective_grid-search_multi-core.csv
Normal file
1721291
01_nb_cncf_optimization/objective_grid-search_multi-core.csv
Normal file
File diff suppressed because it is too large
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