Add System Tests page
Change-Id: I8a1fc75456f6d7006ca4b3e59daa5d2946ec0e89
diff --git a/conf.py b/conf.py
index 10209bd..e2bbbbc 100644
--- a/conf.py
+++ b/conf.py
@@ -245,7 +245,8 @@
linkcheck_ignore = [
r'https://github.com/stratum/fabric-tna/*', # Fabric-TNA private repo
r'https://github.com/opennetworkinglab/sdfabric-utils', # Private repo
- r'https://github.com/omec-project/up4/*' # UP4 private repo
+ r'https://github.com/omec-project/up4/*', # UP4 private repo
+ r'https://jenkins.aetherproject.org/view/SD-Fabric%20Nightly%20Tests/' # Jenkins View, requires login
]
linkcheck_timeout = 3
diff --git a/dict.txt b/dict.txt
index 8cab5d5..624908b 100644
--- a/dict.txt
+++ b/dict.txt
@@ -15,6 +15,7 @@
IoT
Kibana
Kubernetes
+Mininet
Multicast
Netburg
Netlink
@@ -57,6 +58,7 @@
config
configuration
customizability
+dataplane
decap
dev
disaggregated
diff --git a/images/paired-leaves-pod.svg b/images/paired-leaves-pod.svg
new file mode 100644
index 0000000..5c50b64
--- /dev/null
+++ b/images/paired-leaves-pod.svg
@@ -0,0 +1,4 @@
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Jl2xVDyisQ6W39HE87xPbb6yyRdr9sliOpUYGi9VqMX9c7SKwxp89lr2iYOCsv7wdhfTIP8ZrAtwZ37KuRjU1gs/D/qr/wayLH42Py4fog3G2BgyNxpdPvnGVnFmDy/V9mN5Og1Qb9z991UJn8dBCdBrO4/uB+fmmZXydtIxvy6tLfTa4+Zq20ua9d1Edu5+uV4NzO23P/cmXi8+L4aevcXtcfQjMz7Pg+9fb4fzbZGDoq4Fhp615LblKavdh4m3Pu/k8vZpk7zk0h4lteon9EM7DB687tdsX1dgbV3GWnlydB6vQnN0Pzz9arUs7dRM3Gp3ry8GNVw7Nq5vsHHAls3UTyvvifKcet0x63s05NXd+rQ0/1cutpIajw/th6onnTd0Yxz/QNd3xRj7pwPh6G57Xpv1uds7+w9X5LKbvWjf+w/D758nV5RXmP5y15vZs2Kg1vzU7D6GB876f4djpymvY0+F5JyO/2X3f9CfB97NZ4Rky3ykZBtBDCDIJjG9py9h+j7lm5ng7HRg+H4trpoPLj8vBuT8bnMf38rluB/NVGhgf46vurXH1/XPav6zdf7lw161JPfrX6cRe+u3aPw+WrgN5TOorz+nhv+YtnXvlaGO6Du6M57iahTf+7cCwau6EsOFGw/lsNtQ+P4xwnNftJa1JYPqOZ3iTpuVNgrWfupHXbVqtiWd56dRsd0PbT/F96lq4n9madIx2t2niOM2f1G0vDXXXacb+hRX73RDnRBrOs32nqWE+i6vL2U3/U4fu/9gxZv/yq9an+UzCe98JbK8bmh7u4znT1E974y/jYDI6b1bcRr16df5tHibiOflzGsTuGBx09nnsW0F3GbnOOittlvTVp6vbq+9h1L+070LDvw7Pe+UhNHR1XjNbl/r16Hy26n+/ndFVvYa7/7jvUzxFfeyebzXbvhlCW18fholuQUNxTnt4Mns6MMNV//zb7ZVxrZEWvUlkPHYc7gUERiQtSJyQ6C8G5vAmnM+mQMs8uFynVxe788PcJkNmgM4qnNc0snCh8dxc574e3nzm4wbnH+2r7y4sbX09uvyWeD+55vDSvh1+IqvUV7l5T0awOH8SEYrsdtezC99Dnj4sPDdeHhi1lUB0kOa+i4PL4Sw0rq9J5jgm2ff9gK1sptH9vYZF1x+DIaawlofw/OOk//2rLS0GMsDY/OssnPsPg/NagvEJJGLQfziPrxcYteXAhDzG/vyK/wYkO5L5OPjuzwoIW119/4oZftSCC4HFweU3Lbj8ej08h+YSN3t0ox59+USMektMmfuGMB0YHlBWS/rJGR1RDi4/g69gM+P8dfg/Zw2PcDvH866C7x0c0QeCr4we8+K/JrjLicFnXvkKvAR+0TL2s7knfT/8NIuvLsQ9w/m3dGB+SwKjl+XfGLy5lPw2Deg/Q78V59W6w/PZctCcrUiCOQntzlWDPpZXF3uOqLagB1gRNLTMy6xRkzP7Os8yQMvQZ/A0U+D8eocZJCtIbK9zuIEN1fTwXIdkehvc545ZQvKzAa7RFdeIYBf5WZ2H0fDT5+vBjc8aAEK0cP7xPjTW0H1v4Xd7957jpfi7bjn1e3Cq5ncj+nnDz1dplLgTa+6a19ftZCOpGE+0cM+h97kWgVuJg+2209FaTkcHd4Ivw8RPziZuQ4tbk2biTVyd79Gt6+DLqNWl++GzEy29C8tsO1NwLvxDw4Kf7cXtRqzB4hKMxbgmznO1Nn2egM8nodlyevdtp5n4XTx5w0rbXVfHOWlrQhxP127q+H7Z6rp4RlzHmUZ87W7P8i7iFeaokT/wxrhmQ4Ov6Ik5OfAxjZjmYfh4Fi/hOa29tGnLcRvPYvkNMd52Qr3FzxiZ/sVZ2T2HPJwAvqFntbt4tm50D7+Qti+ULHDNtJlCFny/drcOf9ZbEjOAnVIcAyaQsprUTeiHj/Pp+s6Ujkv8FBGQmtekg/gmxnV78Fdgawe+U1wPsu1Z/riO63mm322SjoESi/2gmLObkM7UOXwf6KftBEIWaYd8Go97Xc/y06aYSzo18NxLqUM5x+011NhofLbC82g+6cdxSe6Yy9T2HFdzzz0p78jwxjT/yPDTjiXxopHsW07TwBzp+GQ73oPsOgn7fJyLcej8etbqdpZ4Lsizh7irGQnZ4HMSQ4eWgThQ9xg/LuIBDzjFf/AG0KXBeEF8gWfE/CmeoDjC1eX4uo1r4/o2jtcolsA4fg5sMae6JmQEPHYjYNuVz4V4YByv2tAD4hJN4YViE8Jfm3Hurb2xwkwPsu+BYfAcCXQ3CVO/oTAD/U2mprCfwIIsJSZCyNWj41PYru0LTECOkE0SA9MesNZLaL7QQYLnAIZJBh7r1U9obhFhJCa7aTmh0jnJT4PNKZzowF5K8hDP6tFcLdyfjgPuYU+YA2Izk+2VdRJawJKUkSdxFJJcYshD4kiOpeAMiS3omuyYniOG7JWMdZKZGItMOQaZuAJvTt1yPy2iwUUduOjArj2jBczgs4jbslhjW5nCHvKYIqz1EEMGVhFrEeTkWSRHxIP3xGUCG5BLg/EFWcgxcBOeB8d17qUc17A9wR3dKc4hzmrujPtsa5GSndG+sPQitsCnk2CLrURgC89hQH95bK3pmHZDYAvnA7t14iPgHtw5qSdkA0ousDtwt5JlYDEPjy2ycVvIK7LJS7jMkwHZBrAIDEBmHmMxwPw6uD5jUWt3cW9cA5gApzWJn4AHitd7pDvYHZ7FCdbE6+C/BLKKPD52SlxAkRa4xqMx2DBwxGMhdO+aiOtxXz5HcBzZifAbKWFd4LWneROPubDtAN+TqfADkybmEESwBcYFYyqxwFUR5lhPGWeT0GgxBwM7aRM6Z7uM/TRi3HtpHbbmRfAfkH3dJKz6jEvPgP3F4v4B8o5wLXUIjqFzm4Q/cImUOflH5ssm4SgFVwu+dHo67o2cIoA9evg8pdxiqytgknjKE3xis29jHdWhry0PCz8KmUlOgC414SeI/4K18suwa5t4RfE+/IO8XsafkJ/sNumexN9bn0B+0Omoc1YZn8P6EHwQS2xGpif0xDZG+N2Z4/Yackxgl/0n48czPbIb8l9OB3ZJ+uxFQUJzIjsJkxb7Mc9kXz8mPAHnSZy02DZdIZexJWKKSRSTH2KfyHFBfU18jc/wKz1d+GHEJI7H2PHhP4ijlE9rUT7Z5diFOHbtC7zjOoEp8A4fMoksYTPu2ncinW1G+E6aH3LSwOLnAM484FI8i0f3scWzQO6wL2AUWIkIrxo9C/QPLkZMRHnnRWywbXXJp8YkH+iXfAcfC7tG/EbxSNoDngPB3ZNoDT9D99MoR/aBaeCW+JKwbYvjA8Q2pGe6zxR+qo77IOfqBnQsYRRy6pjMeU7dlufjmetk4+SfNeJY4rMWceKkSfyB85o283NDs/l+3UCT3L1qk62By8EByEtgo7iHv4mbYJvdQMRJ3abw2ZPeWuASsoQ/brNvA87Sui7k1yN5wLYCcCHzCuYfCiyANxErEB7Iv9PzJWwPk6k4Nw2JQ4GNDSaNtsLvJuab2phLIrDCY/yvmC+4M61LPgqAi6k8DnzoeJY8H9zAPCFiPhlHeuQ3pUwgi2Trv3qEUSULxi3FdYKj4UPBFSQXzI/4ZClsSvh24I+wDr6VsTDxl+OCO2MxZzwz2TXjR9hHQlyn7APxtSnnhzkr+/CErFnfTcSS03Xm2bXMs2u/8OxrYJhirjXFgu4nPO+kSbwZc15BvphiB7q+jO3Jv8Ce1iLDb4pncpox42YCG550wAkePXvMvjth36ZBVsxzwC7wHxKeLLJ3xgn5BqcjcJe6IgZCHKFiD594rcu8GVOc7wkOoTqGxFQdvixijgWGNI/jccpNgkTqA7bL+gCGOZYnH0t2mIo5IYZNpxzbwg4t4vgB49zlmBqcYijcSpswhS/37JbgR45lqE5FeiL9ipyBsUx+bd2iGJ3jN/K/PK4Rb7BvE76dcha6r3g28t3QG87RRJ5XXzFHEX9fWBYfL/nbpzpZl33Ums5leW7iWvhjh30V/gVmZU4DH0mxc8I+iLhbHCt4g3Mr4iGKPWOduEXgtYkx+j6iXAVzjDgvxP3XkKne2sRn9XVbcjqe0dzkhU6TYmbicIOwIfNCmrOKxaiuuJQ5G2xD5otdcHsq/Tv5xq7MbbsiNhfjLs9X+g7YsIUYmLFKdgusIC5SNo7PmIvy75h/k3xo4rOfIR8uc2TE6dCPjmvJ56dcDhzN8UNEcZfgZsJ8112SHimHxlxVzA65QGcOjm2cLRnXVCvtcpzD+XC/UU/Zp7Cd1GOWCeIHj3IhoX/EQB2jLfMqmlNunHCBz+DdBmODODf1BKeTf8V3U8kT01TyQSr8jJsKPkW82fXW0ueCSzrWzviGJ8lmmzrFim3mNtj91ndY5PuEbw82uTtwTDHRmmNA9ts746nPNsmxYQw7W2/qERw3UbzRwZx6yN87loz9bcgKdqN0gvkgHmKZwC4YV8nOuMYycTZ1CJ1kp2J/gR+KkTuY0zavFPUK5D/AmLQNyI7tmHxtDB7ecCjmQ3muRjyTyYMs4TMgZ3CSyndE/aaZsq67PX133KMYPt7kQZMp5SS4bqRybZ3uRfHVpq6C+JBzSK7Fb/JpxDdkR03Ma2pR7rE7zrxF11uLPLunbWszFA9wvE2xrq44DL7JUs8OHrSLMvFE/iaxAk7hPFPwalPF98SVIlYVfpFrTZ66N2RN8R7VMjDnxFNYEbn2mv1pl+sReNYrUY/geB1cy1zFHEd1Lfg19i+mqEd4CdWxWg7k6dRjaZ9rGmM+4j5EJPN26ns0OT/hmga4VOTuZJucX6o4weCfGVvIJVR+6OCeFHePufa1xbvgZxoHf23zRp95JiCfJrmb6nIbm6LYQ+aM4PGx9Cdd5ffrOFb5GOHrOE+Xvh8yNETeEVJmKfIWB/4XXOVRjJoij+iqfJdiF8JLQLGtxnhJqSrO9TBwZKBz7kX6J6zRdXGslLspdInj06mMVzvs+8XnSBP1ih58cmhlxkyO/wVuRRwMO5XPlHAOM2Z/Qbm0kau9rLa+UcqS/YYr6jWT3j3nDN1AYU7jeJTrl18JO6rml4g8G3p25FgXMeekSbUbk+sHY8En4CCT6jfk0zi/oNoAeMDn/GCK7yOOJ8B/mFcgcxr4QhFHYi7hWmLAIjls9elqIt6HvTie5ArkDJTPyHHFNeyDgQtRewFHbvgXuUDaUVjRpJ+H73V1kZPWhV+7IIx6uqgHCn+v4knSO2MIuRHsUMoiUPEDbK8nOSeIuQ7AGKinXB9mG/JsdS+uN1xwfdeU8RrFHPBbnH+tt7VQ5ghp/wHiAlnz5M+yFuoEnBtvfLesbXFtWuazyOfwfMDB+EzW36m3q1GX6nr46fPtqBERVxrkE6jO0iJ+bcS7Y+QbKG6l6nyq7rdTr0+Hn2bLq642vprPlgNnMWlfXl1754jLTR/3rd1dXeiyf7ng3KXNvXHqpnVq7s3Z9fCcaoHuw04Phvoz6U79vxqef9T6jTPqOK2QK8Y+8wbFtjFhHjLxSB8C2/Qd8lD4/3hT++lO10I/wDXLi/K+QOM4m/J2qrFcqLpFk/LpNdctGoyRmG0H8SHFnB7pa7wzbhBHg8PBdWeI6wPKRQ3KqSmWITve5DmO8okh2zbzyZhqolMR09K8uhGuG5C9Ya6RHKfjuV4iOD5tErfIej49B1/f4vqsxDXVg1rE8+ChTd7jdAyOcRGDc5zF+RzVT2KqmcfsZziHAFd3PfI9a64Dcv5DfssFR3o055R9wQVyMcS3wgapP1Jn/DJXcF4RcvxF9+IaWFoXdTxcE3OKhsjxNzFzI/P5guJDypmJhwLWEa4LvdM8wCOpRzkay45sCtyhcX7nUB2DeAZxEfDAMnQwLnxrwvkqPTdjBP46YZ9lU0ztbWNK5h+f9AJe4j6KiBdirhOnon4GmYuaNXJu5l/Eu9AX9ZVonNYMxO2LwjjkWecap4u8AfijOvqS7Aw8nRIfUIzssX9hHy94PyF5UJ+ArwMMcOwPrEZShyHFVxTLWaLvIecMX0985VMtskvPS8/Y4ZpRi+JB5Bjg1TXXLeFHqXfRpnxN9AkWstbC9QC2E+RJkAHVtww6nuo2HuVwVJcimYKbgD9LYiyR/QPku2Ek8kDRo+DYReSEa8rvOR5hWw0Q69Q1UUflWI7iMcIs10WozwX5qx4cniM0RD27w7Lk+vcF9eYirTDOOTJhiGRP9o9cQOZlVOdgjhb9KJzfZP8rbIPqUD1gxzWE33apfgU7n5I9cK5OfIL4hmJLcQ2yiW7AvQafrt0NRc2SbPtCxUPgF+Z/rmHZoj4VUOwl8nCH67A0D65hUQ1cxAUuyUnzJ56MxTsUI2sc21NeAS3LOAtzq2tU9+ReD69Jacp67dQQ86NndGPRf+tx7cHnnhRyWlrXwr0l4pBQ5P4UB44pr6jrnMNxrCtjbpZNgPtj/p/oegHldIwlxg/pI+1RPgw/IPQH/HJNHHMjP022z7V9f98YYjqfayWIp2GbogYUUh/WFvMAzin3T92YYzPRb4vJZwk5ucApxYAB6dDc1MVJJw7i7Ikn8ylZ24fNMlYamiVig1ATGEWs63A9m/NOmbMTfky2U5Fv27QOTMTI3Ms0aO0Q+A65APVW4J8mU1ErEXqjmq4mY7qU6o3MKRPmDov6iyJeRazSpViBZBtxzirjFeiH89q16FNyjoXnpFrUdC1kVRe6ELVUFU9tx0VMxXV4cO1a1DMDlr+oEyMnpL6OiLWJt4gTcK4bi/gJ9+Ualsc1CsIux0GOa/vqfMEd8B2dtYgNgUOqPXD+78ZbTIO3kAtRbthmLo1skb/3TMofW+yLkAtK3LI/oHyb83CPuJwwgjgF+Z7s7eF5rQ0OqA4uaoWWr+oqaUC9bcoHyX/TWjo5F1f13E3m2gtRu0DsJevbgU0+idcTTDwRJ6V0fiRrYS7FtEpuovfE8Tet+ZI9RrIZjk84h5RxayfN6EQjP0bxNvED5cCb3HFSt2S9JBH2zTUnqk+LmIPqMWO1zoH6HJSfw69166qvGYvafYeeeS18HY6D/liG1EvlONezqA7GayOoT5Bm1jeMmdMg41DWxF3EBJEh4nVw1SYPqtOYpepbsv8BzujFm5yRcC38MuVxqRoX+bccn3Q0f9PH3nAsr31QNUsh+54uY7+IY/1uU8oKmGXfE+q5uN3guSQU/1Fu2BRcnAYce/n0/WRK+UTCckP+DT6hmjHLRsiO1hUgX3K4XkH9bpUjk76p10p9WEvaOq1xoDjBFPk6YiCZ13HvkOdKOO8Ysn5FvQNL9AuA15Q4jOuK1I8ifcu4RvA/uIZinFj0R4B7xivjLKGcbXtuIOqGm2tSPkH22JP1x4jqWZKDFO5dUQOFz3dVLV3U5rPPQrKG/+ccneJkijdlHOJRPMDjba5PeMZGrqJGTLKy2iK+I1sFxzWl3QKrE1pnQLEY9MF+ckePqg9oiPxO9vYask43ji2O0buZdSFdl+KupahbwN83dtYGraXNyGclm0acA1tQ+bov18ZI+zFIH5sanLAfG3O2RE+ut7M2SPQO1Xoj2E6Xn594mmKXRPh94FzV0Ceh6nXwmoFN/anLtTrZ64hUnc1S/VPisU1Ninv8AdUAkNMT3lTt3iXetGUfRuP6PueGPepTmqIf4epUgxbxKdU9yd9yXhKLugHF4J7NmByTbwss5mTOgXm9BdVW5bof8hccr63Zt3a5nyXy/9Rdck+eeACY9kVtJZX9R9kbmcZ8XIP7m5hfk/1bm+xSxGgW5YbANbghEj29iVxfBN82aMDOxxQzUg9B1Kj5mcZ1rnkiBjJlbCPrOaHoq3A/xtvWfSj+TQOqf5CtEdeSPGktR8r9Tof7QTaN+5SfMZ9TrwNxoOjvUw3OED2ozrot+neKn0UvqyHyW/Cb6bEcaI1xJNdJ0FoDyn9695xDwf9Q/8RPxNoMcEmqbFTWs0yuL/L6Bo7TpP49rp8D28SBNvWVxPF1rqnw8d36WvQjhB/2qD4EXLcdzvckTwTUZ1iK/iXiGbnGA+cbYn0FrdUO5Hoqzl9TtnXFi9TPUP5xLHJgrnXxOjCuXZo+x3DcOyD+T1S/ie0kJTtzU1EHIq6iGCzk+4l+SEdn/zOh3CcyxBohz5K9wQTHrImDJXcij4xMEf91qL8XifUdnIOJOBp5v8DzzriV6ZURXnjND/dmVX7GHNtJidsRG6xF7E8xB59PeS18MfXIiZ83a8YEX3Up3whFHYhrNFNZb+vxOgZeY8bPvx2XPSGKgTXK11tUS00gY1pHIdakWNwjYb8nfCmtlRG5MPMg9fhlvEJ5YMD1U8jT9DaxIq1VoBos5SrcAxJ9YqolOO6yzfkFretQ3Es9W4oD2WeTvZuy35uST2LbcaaM6ZaokawpR2NuoXV2Ccd72bUpFC/JmmZge8q/IbZty5o1ng245XU6xDtkr6Za+ybqa7SGacq5meRMnWMIPAvVTTm/oj7JJtfuGYKH2Ichv/U0wYk9WmcYCRsGD6Y9W/S41DoOuf6I+h/Imyhn9bm+Ku2R7ZDWhik+d2mdEK5NfYrpmrEhetrAJcXM3I8TPWyxrkijvJ31SetLJwKjsI01r+uhnlMq1mBx7Z96NYmol4iaI/WEkfd3AxkLYM6TqRhPxXoNitOEvNVYz+Q1RU4oeyqeXDMTyL4VY0zm9h0NHLgWXC5qWTvjyl8JruR6Nu7Pa4Re2nfLXtnuel/Z131yvW/X27feV+N4+MD1vl5y4Hpfwv4kyOQAbiLWaTS5fr77nKSTyKb1Xtk10H5D+HyPfXFTrVemPAocHDOGRIxF3D+l2gX5YtX7VTFKwn1qFfdsZEL1FVoD7Iq8f9tjNFRd3he4lPrzqB4u8cVrhOV4pOI4ztNGYze/vpxWpy+vLnbr2f9euFFofrUHvJr96nZwHpdd7t9ERtBdpbjGQ9/oqTdKysKWuT6t3mzg9eaYx7iVqUV/adRuVK0an9PhPPxgnOVeQdWP9a6hqdmlWm73Rn3PL4c37JLaY2t3+74XeM3U+eeyEk5De3S/+Dj7kvY+frus/nPAHt2Zd0iffMGw8F7oL79xeMiv1guro8GP/Kutw/7yevuysXxDcr6O7vq316XxYlkpjcPFzbIUzhb3w+Jrp8P+qPojzL0Ea78WTvRabnvbwu93s/ftN2FpRcyUX+DN1L2QKW45Uh+trqFtQ2vQpg392U9eVNafflF531YPO++IF19P3/sa+7F0ZFRyG3DmdWRqe/cE2aOjl9gQ5OxrZxpPL6Lx3X/jfxt+dHt/9n2vWYvtA0iaO8op//d+ob74Z8lyr+MA3bhdb79UWw64ZNY3o5W6GiYnLii+fj/cYZbNmjn8Ve6IZotBfqcEXHTEf/Zwx9HoIr8Zlmnv+9V/9h7o2c+HHn68WxActntwkGC8xXBER/x/</diagram><diagram name="BESS UPF (updated)" id="Ii83vwLENIWeQIwRXxBl">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</diagram><diagram name="BESS UPF (5g edition)" id="R1Yry7d3qePEFMZvAT51">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diff --git a/testing/system.rst b/testing/system.rst
index 419f4ce..92ac662 100644
--- a/testing/system.rst
+++ b/testing/system.rst
@@ -1,2 +1,80 @@
System Integration Test (TestON)
================================
+
+Each component of SD-Fabric has it's own testing infrastructure for component level tests. However, we need a way to
+test all the components together. For SD-Fabric, we are using a framework called `TestON`_ to write these tests. We
+use TestON to manipulate the components via CLI sessions over ssh or rest APIs. More information on how TestON works
+can be found in the `TestON Guide`_. The dataplane for these tests are either an emulated network running in Mininet
+using software switches, or hardware pods located in our lab. We use a variety of traffic generation tools running
+on the hosts to create traffic in the fabric.
+
+The current :ref:`topology<Topology>` for the hardware pod used for integration test is a set of leaf pair switches,
+a dual homed management server, and 3 compute nodes. One compute node is dual homed, one is dual homed with a second
+link to the second leaf switch, and one single homed to the second leaf switch.
+
+.. image:: ../images/paired-leaves-pod.svg
+ :scale: 100
+
+We also run soak testing and failure/recovery test in a 2x2 hardware pod.
+
+.. image:: ../images/topology-2x2.png
+ :width: 300px
+
+Test Suites
+-----------
+
+ * Functionality Tests
+
+ * `Paired Leaves <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/SRStaging/SRpairedLeaves>`_
+
+ * Basic Connectivity - All hosts can ping each other and their fabric interfaces.
+
+ * Link Failure - Verify a traffic stream fails over when there is a link failure. We test both failure of both
+ the source and destination links for dual and single homed hosts.
+
+ * Switch Failure - Verify a traffic stream fails over when there is a switch failure. We test several device
+ failure modes for both the source and destination leaves for dual and single homed hosts.
+
+ * `Bridging <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/SRBridging>`_ - Verify bridging works between different host VLAN configurations.
+
+ * `Routing <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/SRRouting>`_ - Verify routing works with different route configurations.
+
+ * `INT <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/INT>`_ - Verify INT reports for different packet drop reasons.
+
+ * `UPF <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/UP4>`_ - Tests ONOS UP4 APIs, such as attachment and detachment of UEs as well as verify encapsulation of both
+ upstream and downstream traffic.
+
+ * QOS
+
+ * `QOS <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/QOS>`_ - Generate traffic flows with different QFIs and verify QOS using port statistics.
+
+ * `QOSNonMobile <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/QOSNonMobile>`_ - Generate traffic flows with non mobile Traffic Classification and verify QOS using port statistics.
+
+ * Failure/Recovery Tests
+
+ * Link Failure Tests - Setup a flow from between hosts connected to different leaves, disable a link between a
+ leaf and a spine used by the flow, verify and measure how fast the flow is rerouted to another link.
+
+ * `Access Leaf <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/SRStaging/SReNBLeafSpinePortstateFailure>`_ - Disable a link between the access leaf and a spine.
+
+ * `Upstream Leaf <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/SRStaging/SRupstreamLeafSpinePortstateFailure>`_ - Disable a link between the upstream lead and a spine.
+
+ * Switch Failure Tests - Setup a flow from between hosts connected to different leaves, disable a spine used by
+ the flow, verify and measure how fast the flow is rerouted to another spine.
+
+ * `ONL Reboot <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/SRStaging/SRONLReboot>`_ - Simulate a switch failure by restarting ONL on the switch.
+
+ * `Stratum Restart <https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON/tests/USECASE/SegmentRouting/SRStaging/SRstratumRestart>`_ - Simulate a switch failure by killing the stratum agent on the switch.
+
+
+Test Results
+------------
+
+The nightly test results can be found by looking at the `SD-Fabric Nightly Tests`_ view on the `Aether Jenkins`_
+website. The functionality test suites are run on the Paired Leaves Pod and the failure/recovery jobs are run on the
+Staging Pod.
+
+.. _SD-Fabric Nightly Tests: https://jenkins.aetherproject.org/view/SD-Fabric%20Nightly%20Tests/
+.. _Aether Jenkins: https://jenkins.aetherproject.org/login
+.. _TestON: https://github.com/opennetworkinglab/OnosSystemTest/tree/master/TestON
+.. _TestON Guide: https://wiki.onosproject.org/display/ONOS/System+Testing+Guide
