diff --git a/README.md b/README.md index 8dc84f4..782e37b 100644 --- a/README.md +++ b/README.md @@ -127,7 +127,7 @@ The `package` folder is create with the headers, library and some binaries for t ``` package ├── bin # Contains binaries for testing -├── include # Contains headers +├── include # Contains headers ├── lib # Contains libupf_xdp.a library └── tests # Contains scripts for testing ``` @@ -136,6 +136,10 @@ package The instructions here is still missing. If you need to know how to test, contact me. For your information, there are UTs for Session Management layers. Also, you can check the video [Performance Evaluation with UPF eBPF/XDP Library for 5G Core Network](https://www.youtube.com/watch?v=6KYFDMJJH2o) to see the performance evaluation (deprecated). +## :rocket: Benchmark + +Check the [Jupyter notebook](notebook.ipynb). + ## Tree The directory structure was created based on this [notes](https://blogs.oracle.com/linux/notes-on-bpf-4). diff --git a/notebook.ipynb b/notebook.ipynb index 8872fb3..bf45885 100644 --- a/notebook.ipynb +++ b/notebook.ipynb @@ -9,108 +9,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[41.32 95.43 98.2 48.83 47.11 61.61]\n" - ] - }, - { - "data": { - "image/png": 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kdOc9n1ak6LBbWagbqWEg7uTZDbjDG0txXbX7aYSTX70G3zG4DYyFuO9TuPXPwQ2SCu4QVEJj3WUaVZ2FO+x5E25sw42493QZ7v06RFWvVu9fMczyK3GHrx/H/ekWAqtx54cNUHf5k1gxfA7sixtdYIW3jhXe8/dT1Q+I3nM1mQpxh+SvAabjuk/n4/4bhqjq/6k7TLmLZLwXwD9whxYDzx32fQ9HInxGaScij+KGlAl1uqpGHA1ARP4DXITbgvwC90d/OG6X9y1cV9aSSMsbY0yyeKOYrPcenqaqb6bgOQJ/2v9Q1VHJXn86VJg9HtwhqgeB/8P1TInZWC4ip+KSzircoJvHqerJQGfc2GYnE2Fr0RhjUuD4oPtTfIuigkvZCUKJUtWdenm5Dj0x3eBNr1PVwHhQqOofInIh7hDU9SLyhO31GGPKS0Qaq+r6CGXNKB0kdJJm/qXgU6Yi7fEkRNyVOnvjjk3uMnCgqn6FO/baEjfsjDHGlNfdIvKhiAzyetU19Kbn4dqdAiPL3+xjjBVehdnjKYPAwJi/aOTzKybhLhzVk50b440xpiwEONq7haPAVRphtArjZHLiae9No50HsTSkbkRNmzbVdu3alTemKmPLli3UqRNryCqT6exz3tnee+9NXl4emzZtorCwkB07diAiZGdnU69ePZo1ayY5OTmP9OnT55HYayuftm3bvtCnT58XkrGu8nzOU6ZMWauqzRJZJpMTT6DLYrSRYqOOzioiI3B94WnRogUPPfRQ8qKr5PLz86lbN11jIRq/2OdcNZTncx44cGCiJ1dndOIpN3VXCn0GoE+fPjpgwAB/A8ogubm52PtV+dnnXDWk+3PO2M4FlO7NRNs/TNeJXMYYY+KUyYlnsTdtG6XOHiF1jTHG+CyTE880b9otyjUl+obUNcYY47OMTTzeuGhTceNZnR5a7g1FvztuVIPvQ8uNMcb4I2MTj+deb3q/iAQuABW44NpT3sP7bNQCY4ypOCpMrzYR6UVpsoDSS9zeIyJXB2aq6gFB98eJyNPAhcAsEfmc0kFC6+NGhH4yxaEbY0xGWrqugGGjJ7FgzRY6Tv2KkUP60qZJtOu/JUfCice7KmInoAXu2uJ5uOG050cajjxO9Ql/qdXO0RZS1YtE5FvgYuAw3KWG5wDP4y64Zns7xpgqTVXZWlRMXkEReVsK2bi1iLyCQm5/71fWbt6OAgvW5DNs9CQ+u/KwlMcTV+LxGu/PwF1PvD8uSYTaJCLf4PYyxkQZxiYsVc3FDUeRMFV9FXdRImOMqdQKd5SwoaCQDVtdEskrKGLjVjfNKyhkozfNKyj68/6GgiIKi6Nvg5coLFwT7Xz85ImaeESkIXAjcB7QAJcYFHdhs/W4y8DWx13CtyVwHO4KfA+JyLPAvaq6IUWxG2NMxiouUTZtDUoSWwvJ2+Ilj63hk8eGgkK2FIa9thsANapl0TAn27vVoF3THHrUbkjDOtk0yqlBw9pufiOv/IKXp7Bk3RZKFLIEOjRLz/BIEROPiFyMu7RtE1zPsJHA58CP4ZKJl6QOwF0RbzDuqnjnisitqvpUaH1jjKkMVJX87Tu8xBBIGF7yCJtI3HTTtiIiNU5kCTT8M1Fk07J+LfZsWY9GXtJo4E0b5dSgQe1sGtVxj2tnV4v3kjIAjP7H/l4bTz4dm9Vl5JC+sRdKgmh7PE8Ak3GXN/0wVluJl4w+Bj4WkWtxez43e+uxxGOMqdBKG9rz2b1RDlcc2Zma1av9mUw2eHsded6ex4atRX/O21ESuXm7Xq3qNAxKEm0b5+yaPLxpo5xsGtauQb1a1cnKKlPLQ0LaNMnhsysP84bMSX3bTkC0xHOKqr5dlpV61/l+F3hXRE4qyzqMMSadzh39E/NXuzaOpesLuOL1GTuV18rOcoervD2RLi3q/nnfzd/5MFbDnGwa1M4mu1qmn7WSfBETT1mTTqrWY4wxqbRg9c4N61kCH1za/8+kUiu7mk+RVT4V5jweY4zxy3fz1xJ8sCxLoGOzunTdLVwHXlNeSUk8InIEsB/uomxveYfajDGmwluzeTuXvTaddk1yqJYlLF5bQIdmddLW0F4VxZ14RGQ4cAUwQlW/DZr/LHBuUNWvReSvqlqUvDCNMSb5SkqUK16fTv72Il4d3o8uLcJeM9IkWSKtXqfgztX5MTBDRA4EhuGujfMKsAg4FHeyqTHGVGhPf7WAb+ev5fYTulnSSaNEEs/ewM8hezKDcCeUDlbVc3BD3hTgumAbY0yF9dOi9Tz86VxO7NGKv/fZI/YCJmkSSTxNgRUh8w4F8lT1QwBVXQd8A3RMTnjGGJN867cUcumYabRpnMPdJ++T0EmXpvwSSTxZQM3AAxHJAboD34XUW4dLUsYYU+GoKlePncH6LYU8eUYv6ta0zr3plkjiWQ70CHp8JG4k6NDE0xA3YrUxxlQ4I79dxJdzVvOv47rSvXUDv8OpkhJJPJ8AbUXkPyJyAnA/rn3n/ZB6PYClyQnPGGOSZ/qyDdz30Rz+1q0lZx/Q1u9wqqxEEs/duOvuXAi8BXQBXlXVXwMVRKQn0BqYmMwgjTGmvDZuLeKSV6fSskEt7j9tX2vX8VHcBzdVdaWXWIbjLgL3E/BSSLXuwDvAm0mL0BhjyklVuf7NmazauI2xFxxIg9rZfodUpSXUqqaqq4A7o5S/xK7JyBhjfPXyD0v46OdV3HRMV3q2aeR3OFWeDZtqjKnUfvl9I3e+P5u/7NWcYYe09zscQxnGahOR5rjRCgYAu3uzVwATgOdV9Y+kRWeMMeWQv30Hl7w6jcZ1avDQ6ful5Ro3JraEEo+InIq7Emk93GWwA7oChwPXi8h5qjo2eSEaY0ziVJWb3prFknVbeG3EgTSuU8PvkIwnkUFCDwZew5278zWuLWexV9wOOAs4DHhFRH5X1dDze4wxJm3GTl7OO9N/5+q/dmH/9o39DscESWSP5xZcm9CFqvq/MOUjRWQE8F/cJa//loT4jDEmYb/9sZlb3v2Z/p2bctGATn6HY0Ik0rmgHzA9QtIBQFWfAaYBB5Q3MGOMKYuthcVc/MpU6tbM5pG/97B2nQoo0bHaZsdRb06C6zXGmKS59d2fmb8mn8cG9aBZvZqxFzBpl0iCmAV0iKNee+DnsoVjjDFl99a05bwxeTn/HNiJgzvZWMUVVSKJ5xHgAK9nW1gicgruMNu/yxuYMcYkYuGafG5662f2b9+YSw/v7Hc4JopEOhdMAh4FXhOR8ZRecRRcr7YzgVNxSedHEWkTvLCq2sChxpiU2FZUzMWvTqNm9SweH9ST6tXsaH9FlkjiCSQZAU7zbqEEuNy7BdMEn8sYY+J29wezmb1yEy8M7UvLBrX8DsfEkEgyWIZLIMYYU2F8OGslL/2whPMP7cDAvZr7HY6JQyKjU7dLYRzGGJOwpesKuG7cTHq2acjVR+3pdzgmTnYg1BiTkQp3lPDPMVMRgccH9STb2nUyhrW7GGMy0gMfz2HG8o3896ze7NE4x+9wTAJsdGpjTMb5/Nc/eO7bRQw9qB1/697S73BMgmx0amNMRvl9w1auHjeD7q3rc8Mxe/kdjikDG53aGJMxdhSXcOmYaewoVp4c3Iua1av5HZIpAxud2hiTMf79+W9MXpLH44N70q5pHb/DMWVko1MbYzLC17+t4ancBQzefw9O2K+V3+GYcrDRqY0xFd7qTdu48o3pdGlej1uO6+Z3OKacEjnUZqNTG2PSrrhEufz16WzZXsyY4T2pXcPadTKdjU5tjKnQ/jNhPhMXrOOOE7vRuUU9v8MxSVApRqcWkd2B64C/Am1wXb2XAV8AD6jqwlQ9tzEmdX5YuI5HP/+NU3q25rTeu8dewGSEjB+dWkR6Al8CDYHlwCdeUR/gfOBMETlKVSem4vmNMamxLn87l702jXZN6nDnSd0RsUtYVxaVYXTq/+CSzrPAxapaBCAi2biu3ecCTwP7+RWgMSYxJSXKVWNnkFdQxAtD96dOTRvdqzLJ6NGpRaQWcKD38NZA0gFQ1SIR+Rcu8ewrIjmqWuBHnMaYxDz7zUJy567hrpO6s3er+n6HY5Is07s9FwM74qi3Bdia4liMMUkwZUkeD34yl2P32Y0z+7WJvYDJOBmdeLw9nC+8h7d7h9eAPw+13ek9HKmqFfEwoTEmyMaCIi4dM43dGtbi3lP3sXadSqoyHDi9CPgYGA4cLSKTvfl9gUa4nnjX+hOaMSZeqso142awevM2xl1wEPVrZcdeyGQkibQjICLF5VivqmrakpqINAVeBI4OKZoM3Kuq4yMsNwIYAdCiRYver732WkrjrEzy8/OpW7eu32GYFEvn5/zZkiJemV3I4L1qcFQ7SzrpVJ7PeeDAgVNUtU8iy0RLPCVlisKjqmk5jCciBwHjgU3A1UCg2/TBwMNAR1zHgzuiradPnz46efLkaFVMkNzcXAYMGOB3GCbF0vU5z1q+kVOfnsihXZrx7Dm97RBbmpXncxaRhBNPrL0SxZ04Ogp4BygsU2QpIiINgbeBOsBBISeKviMivwAzgZtFZIyqzkt/lMaYaDZvK+KSMVNpWrcGD52+ryWdKiDaXskI4Htgf9y5MrNwl0Zoo6rrYt3SEDvAsUAz4IdwoxOo6nzgR1yCHZCmmIwxcVJVbhg/i+V5W3l8cE8a5tTwOySTBhETj6o+p6qHAHsC9+O6I/8TmCwi00XkchFplqY4Iwn0tdwYpc4Gb9o4taEYYxL12qRlvD9zJVf9tQt92tlPtKqI2Q6jqvNU9Ubcn/zRwFhcMnoEWC4i40XkRBHxY8jY371p7+Cu1AHevN7ew0Wh5cYY/8xZtYnb3v2F/p2bcsGhHf0Ox6RR3B0A1PlEVQcBLYGLgRnASbjG/V9SEmF0HwEFuKT4bxGpGSjw7j8O7AHkUTqGmzHGZwWFO7j4lanUr53Nv/+vB1lZ1q5TlZSp55mqblTVp4EhwPu4wUHTvp+sqqtx5/EU4xLhQhF5T0Tew+3hXABsB85V1WiH44wxaXTLO7+wcO0WHhvUg6Z1a8ZewFQqCZ9rIyL1gcHAUFzHAwHWASOTGlmcVHW0iMzCjYjdHzjSK1rhxfSIqv7qR2zGmF29OWU546Ys57LDO3NQx6Z+h2N8EFfiEde/8UjgH8CJQE3cXsYHwAvA+8EDdKabqk4FzvHr+Y0x8Zm/Op+b3/mZAzo05tLDO/sdjvFJ1MQjIl1wezZnA61weze/4M7reVlV/0hxfMaYSmJbUTGXvDqV2tnVeGxQT6pZu06VFTHxiMhEoJ/3cCPu2jYvqKqd3m+MSdid7//KnFWbGX3u/rSoX8vvcIyPou3xHIAbuWAybnSA7cChInJoPCtW1UfKHZ0xplJ4f+bvvPLjUi4c0JHDuvh9+p/xWzxtPH28W7wEl7As8RhjWLJuCze8OYvebRtx5ZFd/A7HVADREs/otEVhjKmUtu8o5pJXp5GVJTw+uCfZ1TL6EmAmSSImHlX9RzoDMcZUPvd9NIdZKzby7Dl9aN2wtt/hmArCNj+MMSnxyS+reOG7xZx7cHuO3LuF3+GYCsQSjzEm6ZbnFXDN2Bnsu3sDrj96L7/DMRVMxMQjIn9NxhMkaz3GmMxQVFzCpWOmoQpPDO5Jjeq2fWt2Fu0b8bGIfCkih5VlxSIyQEQm4AbyNMZUEQ9/+htTl27g3lP3oW2TOn6HYyqgaInnBlw36i9F5DcR+ZeIHCgiYa/UJCI1ROQgEblFROYBXwC9gOuTH7YxpiLKnbua/361gDP7teG4fVv5HY6poKL1artfREYDdwBnedPbgSIRWYQbGHQTUB9oArQHsnHn8WwFngFus2F1jKka/ti0jSvfmMFeLetx83F7+x2OqcCinkCqqquAESJyPTAMd+2dPrgLwYUqBL7BjXIwSlU3JDNQY0zFVVyiXDpmGtuKinnyjF7UyvbjupAmU8Q1OrWqrgceBB4UkdpAN6A50AB3aenVwC+qui1FcRpjKrDHv5jHj4vW88jf96NT87p+h2MquISvx6OqW3HjtxljDBPnr+XxL+dxWu/dOaXX7n6HYzKA9XM0xpTZ2vztXPb6dDo0rcMdJ3bzOxyTIRLe4zHGGICSEuWK16ezaWsRLw3bn5wa9ndi4mPfFGNMmfz36wV8M28t956yD3u1rO93OCaD2KE2Y0zCJi9ez8Of/sbx+7ViUN89/A7HZBhLPMaYhORtKeTSMdPYvVFt7jm5OyJ2CWuTGDvUZoyJm6pyzbgZrM0vZPxFB1GvVrbfIZkMZHs8xpi4Pf/dYj6fvZobj9mL7q0b+B2OyVCWeIwxcZmxbAP3fTSbv+7dgiEHtfM7HJPBEj7UJiJZwNHAgUAz4EdVfd4rawY0AhaoanEyAzXG+GfTtiIuGTOV5vVq8eBp+1m7jimXhBKPiPQCXgM64gYDVdzAoM97VY4AXsaN6fZe0qI0xvhGVbn+zZms3LCNNy44kAY51q5jyifuQ20i0hb4DOgEfAhci0s+wd7BDRZ6UpLiM8b47JUfl/LhrFVcc9Se9GrTyO9wTCWQyB7PTbjDaJeo6lMAIvJAcAVVLRCRGUDf5IVojL+Writg2OhJLFyzhQ7N6jBySF/aNMnxO6y0WLqpmLs+/5UBezZjeP8OfodjKolEEs9RwOxA0oliMXB4mSMypoIZNnoS81fno8C81fkc9ehX9G7bmKwsoZpAtSwhS8RNs4RqgfsiVMsKKfem1bIEEULq7rzcrvPcurOydi7PkuDlCVM3dHl2LveWD57/+8atXPH6DBat3Ua1LOGKIzqTlWXtOiY5Ekk8LYAf4qgnQL2yhWNMxbNgjUs6AVuLSigo3EGxuvHKikuUEnXTYlU3T5WSEnaZV1zi7pcoO81Xjfj0vispUa4eO5PPrjzM71BMJZFI4tmMSz6xdADWli0cYyqW1Zu2kSVCiZcZsgQ6NqvL+IsOTurz6E6Ji52S1K6Jy0taEeYHJ8KdylUp9pJhSdC8wPzguje/8/OfyVCBhWu2JPX1mqotkcQzDThIRHZT1ZXhKojInkAPrEebqQS2FhZz3ouTqV5NaNWwFivytv3ZxpNsIkL1alJhhhIZPXExC9bkU6Iu2XZoVsfvkEwlksj3/Hlcd+lXROR0VV0XXCgi9YFncD3lRiYvRGPSLzDk/6wVG3n27D4csXc8O/uVx8ghfRk2ehIL1uTTsVndlCRbU3XFnXhU9TUROR04GVgoIl95RQeIyOu4pNQIeF1VP0h+qMakzwOfzOXjX1Zx83F7V7mkA9CmSQ6fXXkYubm5DBhgbTsmuRIdMuf/gAdwCes4b95ewOlAXeBR4OxkBWeMH96YtIz/frWAM/u14dyD2/kdjjGVTkKHlFV1B3C9iNwPDMR1JKgGLAM+V9XVyQ/RmPSZuGAtN741i/6dm3LbCd1saBhjUqBMbZmqmgeMT3IsxvhqwZp8Lnx5Ku2b1uE/Z/Yiu5qNoWtMKiQyZM6XInJtHPWuFpEvyxeWMemVt6WQc0dNonqW8PzQvtS368wYkzKJ7PEMwI1KEMuegLVGmoyxfUcx5780hZUbtzFm+AHs0bhqDIdjjF9ScSyhJmCXRDAZQVW5Yfwsflq8ngdP25febW0QTGNSLamJx7tWT29s5AKTIZ7KXcD4qSu44ogunNijtd/hGFMlRD3UFqat5m9R2m+q4y6Z0AJ4IwmxJUREagP/xHXt7gzUAP4AJgOPqup36Y7JVGzvz/ydBz+Zy8k9W3Pp4Z38DseYKiNWG8+AoPsKtPRu0UwDritHTAkTkfbAp7jEtxKYAOwA2uKuDTQDsMRj/jRtaR5XvTGDvu0acd+p+1i3aWPSKFbiGehNBfgS+Bi4P0LdQmCFqi5NUmxxEZE6uAvUdQCuBx4Kvuy2iDQBmqQzJlOxLVtfwPAXJ9Oifi3+d3Yfalav5ndIxlQpUROPqgaGxcEbIic3eF4F8S/cpbifVNVdkqI3pty6XZYyVdLmbUWcN3oy23eU8NqIvjSuU8PvkIypchIZq21g7FrpJSI1gOHew0f8jMVUfDuKS7jk1WksWJPP6HP3p1Pzun6HZEyVVFFGYS+r3rjDaCtUdZGI9MINYtoc17HgU1X91s8ATcVxx/u/8tVva7j3lH04uFNTv8MxpspKOPGISCvgRKALUB/X/hNKVXVYOWOLxz7edIWIPARcFVJ+s4i8DZylqnYlqyps1HeLePH7JYw4tAOD92/jdzjGVGmiCVxzV0QuB+4DgscTCSQeDXqsqpryFlsRuR64FyjyYnoUeBLXpnMo8BTQGnhRVYeEWX4EMAKgRYsWvV977bVUh1xp5OfnU7duZhyqmr56B49N3U7P5tW4pGdNsqwHW9wy6XM2ZVeez3ngwIFTVLVPIsvEnXhE5CjgI2AT7s99AHAgcAGuG/OpQHvgcWC6qo5OJJCyEJEbgbu9hy+r6tkh5X2An7yHnVV1QaR19enTRydPnpyaQCshd52WAX6HEdPslZs47emJtG9WhzfOP5CcGpl+dDm9MuVzNuVTns9ZRBJOPImMXHApbq/mSFX9FzAPQFWfVdXrgL1xVx4dBkxMJIhy2Bx0/9nQQlWdDEzB7YXZ+HFVzOpN2xg2ahL1amXz3Dl9LekYU0Ekknj6ApNVdVK4QlUtBC7G7RHdmoTY4rEowv1wdWKd+Goqka2FxQx/cTJ5BUU8N6QPLRvU8jskY4wnkcTTAFgY9LgQ/jyBEwBVLcKNEJCurtfTgu5HOkk00H0pP8WxmAqipES58o3pzFyxkccH96R76wZ+h2SMCZJI4lmL68UWsN6btgupVwtIyxC/qroC+NF7eHhouYg0Anp5D60Bp4p46NO5fPTzKm46pitH7t3C73CMMSESSTyLcWOfBUzHtZ0MCswQkea4TgdLyh9a3AKdC270OhMEYqkFPI3bU5sCfJ/GmIxP3pi8jKdyF3BGvzYMO6S93+EYY8JIpLX1C+AmEWnjjcf2AZCH+8PvAizH9WyrC7yd7EAjUdX3RORh3Dk8E0XkB1x36v2BVsAKYLAm0m/cZKTvF6zjprdm0b9zU24/oZsN/GlMBZVI4hkD7Ibb61mqqvkici7wKu5SBAHTgLuSF2Jsqnq1iEwELgF6AjnAUtwwOvep6pp0xmPSb+GafC54eQptm9ThyTN6kV0tFdc4NMYkQyJjtc2mdFy0wLx3vL2d44DGwBzg3eDRodNFVccD49P9vMZ/eVsKOXfUJKpnCS8M7UuD2tmxFzLG+CbuxCMi9XEjEgSfOxNo4P9fsgMzJh6FO0o4/+Up/L5xG2OG92OPxjl+h2SMiSGR4xEbgM9TFIcxCVNVbhg/i58WrefB0/ald9vGfodkjIlDIolnM95oBcZUBE/lLuDNqcu5/IjOnNijtd/hGGPilEjimQ3snqpAjEnEBzNX8uAnczmxRysuO7yz3+EYYxKQSOJ5FjhERHqnKhhj4jF92QaufGM6vds24v5T97Vu08ZkmLgTj6qOxF1m4DMRuU5EuohIzdSFZsyulucVcN7oyTSvX5Nnzu5NreyUX33DGJNkifRqC+4ifY93i7S1qapqQwGbpNq8rYjzRk9m+45iXhvRjyZ1bbvHmEyUSHJI5HiGHfswSbWjuIR/jpnGvNX5jP7H/nRqXs/vkIwxZZTICaR2KrjxzV0fzCZ37hruOXkfDuncNPYCxpgKy5KJqfBGT1zMqImLGd6/PWf0a+N3OMaYcrLEYyq0CXNWc/t7v3Dk3i24/uiufodjjEkCSzymwpq9chOXvDqVrrvV57FBPaiWZU2HxlQGlnhMhbR68zaGjZpE3VrVGTmkLzk1rJOkMZWF/ZpNhbO1sJjhL04hr6CIsRccSMsGtfwOyRiTRJZ4TIVSUqJcNXY6M5dv4H9n9aZ76wZ+h2SMSTI71GYqlIc/m8uHs1Zx49Fd+Wu3ln6HY4xJAUs8psIYO3kZ/5mwgMH7t+G8/u39DscYkyJxJx4RuUVEToij3vEickv5wjJVzQ8L13HjW7M4pFNT7jixmw38aUwllsgez23ASXHUOwG4tSzBmKpp0dotXPDyFNo0zuE/Z/Yiu5rtiBtTmaXiF14N0BSs11RCGwoKOXfUJLJEeGHo/jSone13SMaYFEtF4ukIbErBek0lU7ijhPNfmsKKvK08c3Zv2jTJ8TskY0waRO1OHaatpkeU9pvqQFfgECC3/KGZykxVuemtWfy4aD2P/l8P+rRr7HdIxpg0iXUez224w2aBlt4e3i2aAuCO8gRlKr+nv1rA2CnLuezwzpzUs7Xf4Rhj0ihW4rmD0sRzCzAdeCdC3UJgBfCJqv6RrABN5fPhrJU88PFcTtivFZcf0dnvcIwxaRY18ajqbYH73iG26ap6e6qDMpXX9GUbuOL16fRu24gHTtvXuk0bUwXZheBM2qzYsJXzRk+mef2aPHN2b2plV/M7JGOMD8o8VpuIdAKaAetU9bfkhWQqo83bihg2ahLbi4oZM7wfTerW9DskY4xPEtqLEZHq3ggGfwBzgW+B64PKzxSRiSLSPclxmgy2o7iES8dMY97qfJ46qxedW9TzOyRjjI8SGTKnOvAhblSChsBsSnu7BXwHHACcmqT4TCVw1wezmTB3DXec2I3+nZv5HY4xxmeJ7PFcAhwBfAG0U9Vd9mpUdTEwH/hrUqIzGe/F7xczauJizjukPWf2a+t3OMaYCiCRxHM2sA74u6qujFJvNrBHuaIylULu3NXc9u4vHNG1BTcc09XvcIwxFUQiiWdP4EdV3RCj3mZcpwNThc1dtZlLXp3GXi3r89igHlTLsm7TxhgnkcSjQEkc9VoB28oWjqkMVm/exrmjJlGnZjVGDu1DnZp2oVtjTKlEEs8iYD8RibiMiNQG9sUdbjNV0LaiYka8OIX1Wwp57py+7Nagtt8hGWMqmEQSz7vA7sBVUepcCzQi8rA6phIrKVGuemMGM5Zv4NFBPdhn9wZ+h2SMqYASOQbyCPAP4D4R6QmM8+Y3FZGjgdOBIcBS4KmkRmkywiOf/cYHs1Zy4zF7cVS3ln6HY4ypoBIZMme9iPwNtzczCPg/XLvPsd5NgGXA8aq6OQWxmgps3JTlPDlhPoP67sHw/h38DscYU4El1OqrqrNEZG/cns/RQAfcFUeXAR8Bz6jqlqRHaSq0Hxeu44bxMzmoYxPuPKm7DfxpjIkq7sQjIjVVdbuqbgOe9m6R6nZS1fnJCNBUbIvWbuH8l6fQpnEOT5/Zm+xqNpasMSa6RP4lxsRTSUTa4UY3MJXchoJCho2ahADPD+1Lg5xsv0MyxmSARBLPSSLyeLQKItIKl3R2L1dU5SAi94iIerer/YqjsttRolzw8hSW523lmXP60LZJHb9DMsZkiETaeHKBi0Vkiao+HFooIs2BL4H2wP3JCS8xItIX16U7+HLdJomWritg2OhJzFtdABTwr2O70rddY7/DMsZkkIT2eIBfgftF5PTgAhFpDHwOdAGeUNUbkhZhnESkJjAa+AM7jyhlhrzwE/NW5wMus78+aZm/ARljMk7ciUdVNwHH4P7YXxSRQwBEpAHwGdAdGKmql6Ui0DjcAXQFLgA2+hRDpaWqvDN9BYvWlnZaVGDhGuvEaIxJTEJdkFR1GS75FAFve4e2PgR6Aq+q6vDkhxibiPTDjajwqqq+50cMldnqzds4/6UpXPbadGpWzyLQWzpLoEMza9sxxiQm4b6vqjoDOA2oD3wPHAi8jRu1IO1EpBbuENt6wK+9rUpJVRk/dTlHPvI1X/22hhuP2YuPLz+UTs3qkiXQsVldRg7p63eYxpgMU6Zhg1X1UxEZATyPO3H076panNTI4nc37pINg1R1rU8xVDqrNm7jprdm8cWc1fRp24gHTtuXDs3qAvDZlYeRm5vLgAGH+RylMSYTRUw8IrIwjuV3APsBv4Wcra6q2rGcscUkIgcBlwNvq+rrqX6+qkBVGTtlOXe+/ytFxSXcfNzeDD2onV1PxxiTNNH2eNrFuY5WYeZp4qEkxrsEwyhgE3BRGdcxAhgB0KJFC3Jzc5MVXkZat7WEUb8UMmttMV0aZTGse01a7FjCN18v2aVufn5+lX+/qgL7nKuGdH/O0RJP+7RFUTb3AJ2Bc2NcijsiVX0GeAagT58+OmDAgORFl0FUldcnLePuCbPZUQK3n9CNsw9oS1aUvRx3qG1A+oI0vrDPuWpI9+ccMfGo6q6buRXLybgrog4RkdCODXt50wtF5Dhgvqqel9boMsTyvAJuGD+Lb+at5cAOTbj/1H1p0yTH77CMMZVYpl+TOAuI1sLdwbs1TEs0GaSkRHn1p6Xc+6G7WOxdJ3XnjP3bRN3LMcaYZEhkdOpuwKnAe6o6LUKdXsBxwBuqOic5IYanqu0ilYnIKFz37mtU9aFUxpGJlq0v4NpxM/l+4ToO6dSUe0/Zhz0a216OMSY9EtnjuQjXEP98lDqrgVuAJtg5NRVOSYny8o9LuO+jOWSJcO8p+zCo7x52/RxjTFolkngGAjNUdXmkCqq6XESmA38pb2AmuZas28K142by46L1HNqlGfeesg+tG9b2OyxjTBWUSOJpDXwSR71FwBFlC8ckW0mJMmriYh74ZA7Z1bJ44LR9Ob337raXY4zxTSKJpxrxDbEjQM2yhZMcqjoUGOpnDBXBwjX5XDtuJpOX5PGXvZpzz8n70LJBLb/DMsZUcYkkniVAPxHJUtWScBVEJAvoB9hY+T4qLlGe/3YRD306l5rVs3j49P04pVdr28sxxlQIiSSeT3AdBq4D7o1Q51rcIbknyxmXKaP5q/O5ZtwMpi3dwBFdW3DPyd1pXt/2cowxFUciiecR4FzgLhHpDowEAl2m9wTOAwYBm4FdrlBqUmtHcQnPfrOIf3/+Gzk1qvHYoB6csF8r28sxxlQ4cScer8fa34FxwGBckgkmQD7wfxkw6kGl8tsfm7lm7AxmLN/I37q15I6TutG8nu3lGGMqpoRGLvAuh9ANd9G1o4C2uAFBl+IOxT2iqkuTHqUJq6i4hP99tYDHv5hP3VrVefKMnhy7z262l2OMqdASHjLHuwrp5ckPxSRi9spNXDNuBj+v2MSx++7GHSd0o0ldXzsTGmNMXDJ9rLYqp6i4hKcmLODJCfNoUDubp8/sxdH77OZ3WMYYEzdLPBnkl983cvXYmcxeuYkT9mvFbSd0o3GdGn6HZYwxCUk48YhIX+A0oAtQH9epIJSq6uHljM14CneU8OSX83gqdwENc2rwv7N7c1S3ln6HZYwxZZJQ4hGRR4F/UppslJ0TT+Bxyq9AWlXMWr6Ra8bNYM6qzZzSszW3HL83DXNsL8cYk7kSuSzCYOBS3KgEd+L2eo7E9W7rBJwJHATcD3yc9EirmO07inn8i3n896uFNK1bg5FD+nB41xZ+h2WMMeWWyB7PcGAH8BdVXSAiBwOo6mfAZ8DTInILcBPwZtIjrUKmL9vANWNnMG91Pqf13p2bj92bBjnZfodljDFJkUji2Q/4QVUXRKlzJ3AOLvmcXJ7AqqJtRcX8+/PfePbrhbSoX4sX/tGXgXs29zssY4xJqkQSTx0g+Fo82wFEpJ6qbgbXo0BEJmHX40nYlCV5XDNuBgvXbGFQ3z248diu1K9leznGmMonkcSzGndl0YA13rQTEHwp7AZA3XLGVWVsLSzm4U/nMvK7RbRqUJsXz92fQ7s08zssY4xJmUQSz3ygfdDjSbgebBcA5wOIyJ64K5XOS1aAldmkxeu5dtxMFq3dwpn92nD90XtRz/ZyjDGVXCKJ5zPcyNRdVXU2bmy2FcB5ItIT19vtL0AN4KWkR1qJFBTu4MFP5jJq4mJaN6zNq+f146BOTf0Oyxhj0iKRxPMK7gqkOQCqut0brfotoI93A3gf+Hcyg6xMfli4jmvHzWTp+gLOObAt1/1tL+rUtAEkjDFVRyKXRVgK3B0y73sRaQ8cCjQG5qjqtHDLV3Vbtu/g/o/n8OL3S2jTOIcxww/gwI5NYi9ojDGVTMzEIyINKb0EwnZguqp+FShX1a24w24mgu/mr+W6N2eyYsNW/nFwO645ak9yathejjGmaor67+cdSvsfbky24PnTgJO9SySYCDZvK+Lej+bw6o9Lad+0Dm+cfyB92zX2OyxjjPFVxMQjIvsBL3t1tgC/4RJQe6AXbnSC/dMQY0b6+rc13DB+Fr9v3Mrw/u258sg9qV2jmt9hGWOM76Lt8Vzplb8MXKSq+QAi0gOXdHqLyABVzU11kJlk07Yi7n5/Nq9PXkaHZnUYd8FB9G7byO+wjDGmwoiWePoDK4Hhqro9MFNVp4vIFcDbXp3cVAaYSSbMXc2N42fxx6ZtnH9YB644ogu1sm0vxxhjgkVLPLsBnwQnnSBfe9NWyQ8psyxdV8DQF35i0dotKNCuSQ7jLzqYHns09Ds0Y4ypkKIlnprA+nAFqrpBRAJ1qrQzn/uBZXlbATeMQ/VqYknHGGOiyPI7gEz3+4atf95XYNGaAv+CMcaYDBDrZJKWInJoWcpV9etw8yubDs3qsmBNPiUKWQIdmtXxOyRjjKnQYiWeo7xbOBqlXONYd6Uwckhfho2exMI1W+jQrA4jh/T1OyRjjKnQoiWHpbgEYqJo0ySHz648zO8wjDEmY0RMPKraLo1xGGOMqSKsc4Exxpi0ssRjjDEmrSzxGGOMSStLPMYYY9LKEo8xxpi0ElXrMQ0gImuAJX7HkUGaAmv9DsKknH3OVUN5Pue2qtoskQUs8ZgyEZHJqtrH7zhMatnnXDWk+3O2Q23GGGPSyhKPMcaYtLLEY8rqGb8DMGlhn3PVkNbP2dp4jDHGpJXt8RhjjEkrSzzGGGPSyhKPiUlEskXkcBF5WEQmi8gmESkUkRUiMk5EBvgdo0kNEblHRNS7Xe13PCZ5RKS2iFwrIpNEZIOIFIjIIhEZKyIHp/K5q8TF2ky5HQZ85t1fBXwNbAH2Bk4FThWRO1X1Fp/iMykgIn2Ba3HX5RKfwzFJJCLtgU+BTsBKYAKwA2gLnATMAL5L1fNb4jHxKAHeBB5T1W+CC0Tk/4BXgJtFZIKqTvAjQJNcIlITGA38AfyE+zMylYCI1MFtSHYArgceUtXioPImQJNUxmCH2kxMqvqlqp4WmnS8steBUd7Ds9IamEmlO4CuwAXARp9jMcn1L6Aj8B9VvT846QCo6jpV/S2VAVjiMckwzZvu7msUJilEpB9wFfCqqr7ndzwmeUSkBjDce/iIX3HYoTaTDJ296UpfozDlJiK1cIfY1gOX+RyOSb7euMNoK1R1kYj0Ak4GmuMOq36qqt+mOghLPKZcRKQlMNR7+KaPoZjkuBvYExikqjYqdeWzjzddISIP4fZsg90sIm8DZ6nqllQFYYfaTJmJSHXgZaAB8IUdlslsInIQcDnwttd2Zyqfxt60Jy7pPIrr2dYIOBFYgetI8lQqg7DEY8rjv8DhwDKsY0FGE5HauE4im4CL/I3GpFDgPz8beFlVr1DVBaq6QVXfxSUdBc4WkY6pDsKYhIjIY8Aw3Hk9h6vqKp9DMuVzD66t7kpVtba6ymtz0P1nQwtVdTIwBXfe1mGpCsLaeEzCRORh4FJgDS7pzPM5JFN+J+PO1xoiIkNCyvbypheKyHHAfFU9L63RmWRZFOF+aJ0+QMtUBWGJxyRERB4ArgTWAUeo6q8+h2SSJ4voW7kdvFvDtERjUmFa0P0muMPkoZp60/xUBWGH2kzcROQ+4BogDzhSVWf6HJJJElVtp6oS7obrXg1wjTevh4+hmnJQ1RXAj97Dw0PLRaQR0Mt7ODlVcVjiMXERkbuA64ANuKQzLfoSxpgK6m5veqOI9AnM9M7hehrXS3UK8H2qArBDbSYmETkBuMl7OB/4p0jYMSPnqOp9aQvMGJMwVX3Pa6e9CpgoIj/gDp3vD7TCdakerCm8SqglHhOPxkH3+3i3cL4CLPEYU8Gp6tUiMhG4BHdOTw6wFDeMzn2quiaVz2+XvjbGGJNW1sZjjDEmrSzxGGOMSStLPMYYY9LKEo8xxpi0ssRjjDEmrSzxGGOMSStLPMYYY9LKEo8pFxFZLCLq3Y6LUu9nr86A9EWXGBEZ4MWY63csqSYi54nIFBHZEvT5NfQ7LlM12MgFJpnuEZEPVbXE70BMZN4GwrPANuAzYL1XVOhbUKZKscRjkqUAdz33M4GXfI7FRHe6N71UVXe5GJgxqWaH2kyyPO5NbxeRGr5GYmLZw5vaBfyMLyzxmGR5E/gJaA9cEO9CIpIbre1HREZ55UMjzReRbiLypoisEZF8EflWRAYG1T1ORL4SkY0isklE3hWRzjHiqiMi94nIQhHZLiLLROQJEWkSZZk9ROQxEZkrIlu95/rOi3GX4byDX7uIHCoiH4jIWhEpEZGTor9zf64jW0QuEZEfvefbKiKzvdibhNQdJSIKBN6bCUHtO7fF83zeerqKyDMiMt97vjwRmSkiD4lI2zD1D/I+n1UiUuhNx4nIARHWH9f7IiJNROQuEZnlfe5bRGSqiFwhItlh1ltLRK736uR7n+tKEfneW0+teN8DUz6WeEwy3eBNbxKRuml6zj64hNcF+AKYCxwMfCIi/UXkn8A7uGvIf4Jrzzge+DpKEqnhresS4GfgPaCW9/h7EWkRuoCX6GbhLgmeBXyMu+DWvsALlF5MLZzTgQlAG1ybyxdAUawX7v1Rfgo8AXQHvvZibYi7dtIUEekQtMi3Xhx/eI8/8R6PBqbHej7vOc/x6g7Hvafv4UYlz8INsz8wpP6FwDfAKbjRj8d501OB70RkeJSni/i+iMg+wEzc5ToaArleHG1xIyx/FLznLSJZwAfAvbirqH6F21j6FbcHGFiPSQdVtZvdynwDFgMK9PEef+I9vjWk3s/e/AEh83PDzQ8qH+WVD40wX4ErQ8ru9+bPBTYC/YPKauH+oBW4OWS5AUHrnAu0DiqrB3zulb0RstxuuIS2AxiCN+q7V7YH7nLD4V5DbtDzjSjDe/+At+zskFhr4/7gFfg+zHJR3/Moz9cX98e/AxgW/Dq98q5A16DH+3n1i4HTQ+oO8uYXAt0TeV+817fQK78eqB5U1hiXpBS4LWj+od68KUCdkPUJbmMlx+/fU1W5+R6A3TL7xq6JpxdQAmwCmgXVS1XimRhmmUZBf1z3hCk/2Sv7MmR+cOI5Lsxynbw/3WJgj6D5gUR3f4TX0CfwpxfhtX9ahve9NrDZW/7IMOVNg8oPTuQ9j/Kcb3vL3Rdn/ZFe/VcilL/mlT+byPsCXOiVvx6hvBUuoa2h9NIvp3vLPOrn78Vu7maH2kxSqepU4A3cHsJNMaonw8dhYsjDXVExbDmljeqtIqxzg6q+H2a984EfcIeVDg0qOsabjo2wvilAPtAjQjvC+AjLRdMbqAv8rqqfhYl1Le4wGLiEWi4iUg040nv4XJyLHeZNR0Uof96bDohQHul9ifp+q+rvuM+4KRBoy5uK22AYJiIXhTtcatLHEo9JhX/h9gwuCNfYnGTLI8zPj1IeKIvUmLw4yvMFynYPmhdoR5kU1Fj/5w23B1gX93sL1660JMrzRdLamy6KUmdhSN3yaIq7SuUOLwHHI1aMseKL9L4E3u+x4d5v7z3f26vTDEBVFwBX4Nrv/gOsEpEFIvKSiJzmJVaTJnYej0k6VZ0vIs/herfdgWv3KKtYG0exTlZNx8msgT+t13EnZUazPcy8reV47nRdQrg8z1PWZSO9L4H3+wNgbYx1BPZ8UdUnRGQscBJwiHc7y7tNF5HDVHVTGWM1CbDEY1LlDuAc4CwReTBKvcDZ8pF6waV6jymcdnGUrQiatwzX/nOnqv6SophCBZ6/fZQ6gT2DFVHqxGsd7iThHBHp6O1BxLIC6OjFEa5+WeNbBuwJPK2qHySyoKquAv7r3RCR/XAnPPfAdVS4McFYTBnYoTaTEqq6EngM9x27J0rVwJ/OXqEF3nH4XsmPLqaGInJM6EwR6QgcgNuC/zqo6CNvenroMikUaDdqLSKHhxZ6XcWP9x7mlvfJVLUY16sP4Lw4F/vKm54Tofwf3jQ3wXCS9n6r6gzc9xRcLzyTBpZ4TCo9AOTh/gAjbZl/4U0vFpHdAjNFpDHu/JJ0nQ8U6uGQeOoCT+EO87ylqkuD6j6I68V3o4hcLCK7HEkQd5LrKckKTlW34m21A4+FxFoLeBr33v2gqt8l6WnvxjXQXy0hJ/R6z7uXiARvQDyOa+sbLCInh9Q9Hfg7rrv14yTmGdxezxARuU1EcsLE0l5Ezgp6/BcROSb0s/HadgIbGWVpazNlYInHpIyqbsCdsAeuYTqcN3DnubQDfhGR90TkE2A+rgH/7dRGGdb3uETym4i847ULLAT+ijtkdHFwZVVdhms32Aw8CSwVkc9E5BXvrPuluO7kf09ynDfj9ha6AfPEjcjwuhfr6bgTNc9M1pOp6k/ACO/hC97IBW+IyNsi8jPufKIDgurPAC7D/c+MF5EfvPfkR9znDnCJqs5KMI584Fjc67sVWCYiE7x1vysi83DvwSVBi+2L1yYkIl96dd/CJbBTgFW4bvEmDSzxmFR7gsg9z1DVQuAI3Bb6VuAo3GG30cBBuBNA060Q+AvwP9wf1gnevP8AB3jtBDtR1Qm4BHAPsBr3B3yqN28hblSHpHYvV9VtuGR4Ke4M/IHAibik+QDQS1UXRl5DmZ7zedzhz1FAtvd8h+L2bB4Evgyp/xTQH3gLt9f7d9xGxnjgEFV9poxxzMJ9Njfiuk73Ak7zpmuBOylNkuC6lt+O61bdCffZ9MclnFuBfVXV9njSJHBylTHGGJMWtsdjjDEmrSzxGGOMSStLPMYYY9LKEo8xxpi0ssRjjDEmrSzxGGOMSStLPMYYY9LKEo8xxpi0ssRjjDEmrf4fN8xYgUQAoMsAAAAASUVORK5CYII=", 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", 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", 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", 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import json\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "# increase font size\n", - "plt.rcParams.update({'font.size': 22})\n", + "plt.rcParams.update({'font.size': 18})\n", "\n", "def get_throughputs(dict_output):\n", " array = []\n", @@ -118,6 +26,12 @@ " array.append(item[\"throughput\"])\n", " return np.array(array)\n", "\n", + "def get_packet_loss(dict_output):\n", + " array = []\n", + " for item in dict_output[\"items\"]:\n", + " array.append(item[\"loss\"])\n", + " return np.array(array)\n", + "\n", "def get_soft_loads(dict_output):\n", " matriz = []\n", " for item in dict_output[\"items\"]:\n", @@ -143,6 +57,7 @@ " dict_output = json.load(report)\n", " y = get_throughputs(dict_output)\n", " y_loads, ids = get_soft_loads(dict_output)\n", + " loss_array = get_packet_loss(dict_output)\n", "\n", "x = np.arange(1, len(y_loads) + 1, 1)\n", "\n", @@ -152,7 +67,7 @@ "ax.set(xlabel='Number of cores', ylabel='Packet rate (Mpps)',\n", " title=test_title)\n", "ax.grid()\n", - "plt.savefig(os.path.join(img_path, test_title))\n", + "plt.savefig(os.path.join(img_path, test_title), bbox_inches='tight')\n", "\n", "n_tests , _= y_loads.shape\n", "for i, y_load in enumerate(y_loads, 1): \n", @@ -162,13 +77,16 @@ " x = ids[1:]\n", " ax.bar(x, y)\n", " mean = round(np.mean(y[:i]),2)\n", + " pkt_loss = round(loss_array[i-1]*100, 2)\n", " plt.axhline(mean, color=\"red\", linestyle=\"--\")\n", - " ax.text(0, mean + 1, \"μ = {}\".format(mean), bbox=dict(boxstyle=\"round\", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8),))\n", + " # ax.text(0, mean + 1, \"μ = {}\".format(mean), bbox=dict(boxstyle=\"round\", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8),))\n", + " ax.text(0, 40, \"cpu load = {}%\".format(mean), bbox=dict(boxstyle=\"round\", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8),))\n", + " ax.text(0, 20, \"pkt loss = {}%\".format(pkt_loss), bbox=dict(boxstyle=\"round\", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8),))\n", " load_title = 'Load per Core - {} Rx Queue'.format(i) \n", " ax.set(xlabel='# Core', ylabel='Load',\n", " title=load_title)\n", " ax.yaxis.grid()\n", - " plt.savefig(os.path.join(img_path, test_title + load_title))\n", + " plt.savefig(os.path.join(img_path, test_title + load_title), bbox_inches='tight')\n", "\n", "\n", "print (y)\n" @@ -186,7 +104,85 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "import json\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# increase font size\n", + "plt.rcParams.update({'font.size': 18})\n", + "\n", + "def get_throughputs(dict_output):\n", + " array = []\n", + " for item in dict_output[\"items\"]:\n", + " array.append(item[\"throughput\"])\n", + " return np.array(array)\n", + "\n", + "def get_packet_loss(dict_output):\n", + " array = []\n", + " for item in dict_output[\"items\"]:\n", + " array.append(item[\"loss\"])\n", + " return np.array(array)\n", + "\n", + "def get_soft_loads(dict_output):\n", + " matriz = []\n", + " for item in dict_output[\"items\"]:\n", + " array = []\n", + " ids = []\n", + " for i, cpu_load in enumerate(item[\"mpstat\"][\"sysstat\"][\"hosts\"][0][\"statistics\"][0][\"cpu-load\"]):\n", + " array.append(cpu_load[\"soft\"])\n", + " # It will override each iteraction. \n", + " ids.append(cpu_load[\"cpu\"])\n", + " matriz.append(array)\n", + " return np.array(matriz), np.array(ids)\n", + "\n", + "\n", + "reports_path = \"tests/reports\"\n", + "img_path = os.path.join(reports_path, \"img\")\n", + "\n", + "# filename = os.path.join(reports_path, \"DownlinkMaxThoughtput.json\")\n", + "# test_title = 'Downlink Max Throughput'\n", + "filename = os.path.join(reports_path, \"UplinkMaxThoughtput.json\")\n", + "test_title = 'Uplink Max Throughput'\n", + "\n", + "with open(filename,\"r\") as report:\n", + " dict_output = json.load(report)\n", + " y = get_throughputs(dict_output)\n", + " y_loads, ids = get_soft_loads(dict_output)\n", + " loss_array = get_packet_loss(dict_output)\n", + "\n", + "x = np.arange(1, len(y_loads) + 1, 1)\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.plot(x, y, 'o', ls='-', ms=4)\n", + "\n", + "ax.set(xlabel='Number of cores', ylabel='Packet rate (Mpps)',\n", + " title=test_title)\n", + "ax.grid()\n", + "plt.savefig(os.path.join(img_path, test_title), bbox_inches='tight')\n", + "\n", + "n_tests , _= y_loads.shape\n", + "for i, y_load in enumerate(y_loads, 1): \n", + " fig2, ax = plt.subplots() \n", + " # Skip cpu \"all\"\n", + " y = y_load[1:]\n", + " x = ids[1:]\n", + " ax.bar(x, y)\n", + " mean = round(np.mean(y[:i]),2)\n", + " pkt_loss = round(loss_array[i-1]*100, 2)\n", + " plt.axhline(mean, color=\"red\", linestyle=\"--\")\n", + " # ax.text(0, mean + 1, \"μ = {}\".format(mean), bbox=dict(boxstyle=\"round\", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8),))\n", + " ax.text(0, 40, \"cpu load = {}%\".format(mean), bbox=dict(boxstyle=\"round\", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8),))\n", + " ax.text(0, 20, \"pkt loss = {}%\".format(pkt_loss), bbox=dict(boxstyle=\"round\", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8),))\n", + " load_title = 'Load per Core - {} Rx Queue'.format(i) \n", + " ax.set(xlabel='# Core', ylabel='Load',\n", + " title=load_title)\n", + " ax.yaxis.grid()\n", + " plt.savefig(os.path.join(img_path, test_title + load_title), bbox_inches='tight')\n", + "\n", + "\n", + "print (y)\n" + ] } ], "metadata": { @@ -207,7 +203,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.9.7" }, "orig_nbformat": 2 }, diff --git a/tests/reports/20211019-000351-20211019-000351-DownlinkMaxThoughtput-1000flow-6rx.json b/tests/reports/20211019-000351-20211019-000351-DownlinkMaxThoughtput-1000flow-6rx.json new file mode 100644 index 0000000..1b68840 --- /dev/null +++ b/tests/reports/20211019-000351-20211019-000351-DownlinkMaxThoughtput-1000flow-6rx.json @@ -0,0 +1,730 @@ +{ + "items": [ + { + "ethtool": { + "enp3s0f0": 1, + "enp3s0f1": 1 + }, + "loss": 0.0004891944486644843, + "mpstat": { + "sysstat": { + "hosts": [ + { + "date": "10/19/2021", + "machine": "x86_64", + "nodename": "india", + "number-of-cpus": 12, + "release": "5.4.0-88-generic", + "statistics": [ + { + "cpu-load": [ + { + "cpu": "all", + "gnice": 0.0, + "guest": 0.0, + "idle": 78.47, + "iowait": 0.67, + "irq": 0.0, + "nice": 0.0, + "soft": 20.73, + "steal": 0.0, + "sys": 0.13, + "usr": 0.0 + }, + { + "cpu": "0", + "gnice": 0.0, + "guest": 0.0, + "idle": 73.84, + "iowait": 0.0, + "irq": 0.0, + "nice": 0.0, + "soft": 26.16, + "steal": 0.0, + "sys": 0.0, + "usr": 0.0 + }, + { + "cpu": "1", + "gnice": 0.0, + "guest": 0.0, + "idle": 0.0, + "iowait": 0.0, + "irq": 0.0, + "nice": 0.0, + "soft": 100.0, + "steal": 0.0, + "sys": 0.0, + "usr": 0.0 + }, + { + "cpu": "2", + "gnice": 0.0, + 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