First, here’s a quick reminder of the topics we asked you about:
- Job scheduling
- Fabian desktop service
- Browser-based job submission, remote desktops, notebooks and RStudio
- Number of cores on the largest servers
- Current performance limitations
- Storing sensitive data
- Sharing datasets and notebooks
- Database hosting
- Collaborating with external researchers
- Applications and approaches for the future
- Suggestions on how to improve the service
Job scheduling
One of our concerns was the possible impact on users of changing the job scheduler from GridEngine to Slurm. Based on your feedback, most users are comfortable with having to learn new versions of familiar commands. We’ll be sharing more information on this change nearer the time, including providing before-and-after examples.
Fabian desktop service
We already knew that some users weren’t happy with the current Fabian desktop access application but we wanted to hear from more users; over half of responses agreed with that sentiment. There will be a new Fabian desktop service for users but increasing, you’ll see alternative ways of accessing services via the browser.
Browser-based job submission, remote desktops, notebooks and RStudio
Having browser-based options is clearly supported by the questionnaire responses. Command-line access isn’t going away with the move to the Cloud but there will be a popular browser-based alternative for submitting jobs: Open OnDemand. In fact, OnDemand provides browser-based access to jobs, files, notebooks and clusters (via a built-in terminal). Here’s a screenshot of a beta Fabian OnDemand homepage:
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rfc+bMdfPo5/eCc8+qnW8fIjc39dOseVN4r8AxLy/Xhfd/PfrI8BlRu+482k2/gkWFxGefcZo7VUb1QmdVaEOmgLeivNx1g7H9qJHhKxeLXe46xcWXw4ignulLpimssnK0D6nX31iyOw7RunvQoUcu9aWl+VJd6BjUCU8HfDSubbDs65rnSZMmue2H/PzTzzb+q6/d/fPOPsOV9R+//+HOOlCQfd45Z7q/+XVL24TZs2bbBx+MdV3yKFRVmakbCn2WDqz4dS1Wj+7dasvywP32XaJc1Y1PU9IZEgr5/XYinvoCV7itkPzHH360adNnuO3vReef4/6ug4uaZ1H904EG95ozT6s9OKCLiigUj/8MjcvLz3PP6de3jx17zF9qz2Q5/9wzXXmru6Ifgs9dM/h8raeq56JAfefRO1hB8Hp9ro70a51NtF0+/dST3TUAfgq23Tq1TQG4ls+vwbIeO+5jN2/qGime6rSWgV8evs5rHdBybQr+B46+8/ba54ClhpNO1TU9os/TQREvEkn4nQ4AAAAAWUuZlqeuIP9+3dV2brD/qoDWt5zWbU5M1yErDqr7+kjx+4FHHHpIk+8Hxvrfcy8s1X2rcjZd4LI5+H3LG66/xq66/JLaQRmIp4MIp57calp++4bbKWn24FvBh8Kj2OG0U050fzvsyL+6QFpdWCjY0hEHtdaWPr17u1vvjz+n2t/+/g/7448/Xeh77d/+7haWWkYrlIr3yGNPuPf+67En2oQJE21eUIkeevgxV7l0+kD8a64L31vToG41pLm7Qdh8s01cuPrFF1+6YE3hrcKbWJpnTatO7zjhpFPtz6lTXV+9sb799js77cxz7LIrr7H7H/y3FRUV2ZZbbuH+pvBOrSr/dde97j1u/9fd9tnnS7f8nTjxV7vwksuXCOUmui5ILnMtf5uSAjB1e+MHXdBSQWddFHDXVFfbOedf5Obr7PMucq1VfUiW6nxrfjWPmlfPz/fChU0bUCaz3bbbWKSmxi674mq75rq/2+lnnmtTp06zrbZcMgB8+ZXX7Nxg/jW89vqbLohVy1K1WNcRO7Ue/9dd97gw+aGHH3WtYuMlWu5qaXrzrXeEjzLPB8WTk/QFXdeR2mTqmucPx37k5kn+G3zh6LQohbE6avz2O+/aBRdf5g6AqTx1cQcdRPAUoqsbljvuvNt1lyKvvvaGe3zRpVfYo8F2J9EXpYLxW25bsgybulw9HezRfOksGbWejqeDZ9rWaDusbYbqz9hxH9mAAf3d0WAF5/7MF6036v/LvaZdO7vz7vtc1zQqX3XLoaPCsbTtPfnUM+3CoExv/9dd7mDlNsF3gsp7xUGD3NW3zznvQve5Dz70sNs2D99qS/dafcaMGTPs1DPOcfX+kuBz1FebLmbiaRmruxB9rparviPEXxj2zrvvtZtuuc2uu/7GYHm+6sbF0zLw9UFU97UOaF1oSmqdoEA+fujXt2/4DAAAAABYvvWLa1imRl0KuW/8583BcIsbpws1al/TG9C/f3gvuZbaDxTtO98W7FtrX1372m+9857devudS+QwzUFZYV18+K2z55clzR58T/n9j2BhfrLE4LvvULciapl93dVX2F3/utX+/cA9ttPoHdzf4vszVdgdSyG1ukMQdYOSyKqrrORC9ttu/ofdd8+/7P5gSNSXjroC0Wnw3pdh9xLq0qO5qP9chfgKVxX8+LZ98a0bZ86c6YJx79NPP3eVUadpeFppvBdefNmF5QPDjcU333znQsG7g/JWa2ZRC8lEfAiq4LE5w9/yigr7888/lxjqCz/Vb66W7aknH29XX3mpnXn6yW4lVitTSWe+NY8+/NapHS0Zeovm7fegvvszEVQWn33+udvgx/aH/1rM/PgN+MAB/d3ZDKrjahWv9UxB4S+/TFiiHsXyy70yWA7NEc76jbvO9MiUdOd51ZVXcrcbbDDY1R8Nao0s6t7EG/fRR+E9c13NaN069OAD7R83/M11EfLeB2PdtimR2PC7uUJvTwd81E3G9tuPXCLIl0EDo0fDX3p5cTD81tvvult1LZOIf43m2ZdX37593ToYWyff/3BseM/chTHVVU6/fv1qy/uddxdvq557/kV3q/7EdTBE668OTvl1XyG6zoSJbVGv1uFaTgrI//b3G8OxVttF0D/+fp27joO68PEHNBPxP3o0fc31Y0ddVyUadKYCAAAAAMDc2cXxlA+q0az2Py8472x39nusuQlek4jfD1QG1Vz7gW1KSlx+px4dlB+o0e7X33zjxqnxWaLMsiXp7OwZM5uu65em0OzBt4JXtc6OHe5/4CH3t2uvusxdbFJBSWFBgSvM+D6XvUR94FZWRk8NUIAeb4ftR9rZZ57ugi+13C5dVGq/hd0bxKusWvK94085aA4jwlaO6ttVfdOqCwVZb921l2idrv6AYvlpjT26FT/9CtHV/7NcefW1ruWrusNQH8DqE1rdCySjFf/EU0630888p9nCX3U/oRagfrjiqmvDvySn7hTUGnTatBm1g/qIVotSSXe+Na+aZ7Xube7QW61YY6lrE7Vmj1VVFX0cW/erYtYRX08Ujou6T3j+hZfcl4bOENDFJNWNRDJa7upSqDnCWfXTLolCVrXc9V1jJOLrtcR/QaQzz/61M2fMrK0/X47/2tWh2D6tqqvVlVSUDkScfd6F7gu3pLjIdaNy041/WyL4jafw+/yLLm3W0FsUHt986+06ZcT1q11SvPggQ15edN5jDy7V1IT1J8mXrn+Nrq/gy2vcuI9decWuL/H1tqamxm2r/HKrro7bVgXTlx+sy7nh9iz+7yp/HeiLpzM6dHaRp1bqf7/xn67bo77BNlUtAG7+x/XhXxPTMjk/qPPN8WMHAAAAAFA/f02vWNrnVm8SaoC13rrrhGMXS/SaZLQfeN4FFzfLfqC6fj75pBPswP32cZnfKSceZxeed7Yd+5ejbK/dd7XDDznIddGpXLA56KxoNejzQ2yDYFFvEpdfdW2TXJOsKTV78J2MuqZQWKECVLcCBx92lJ10yumuVWAiarkaK9rHb7QrEn+xs1i77bKzu1UodeTRx9oxx5/kgryaSOvsJ1UXblOIpG4B/PCfp//rQh51QO/pwmexwZpWcs3Tt999H46JXsjQU7+3uTk5ruWyqAW5wiB1Z3D0MSe4z9TFEZd1kydNdsH3Xffc5wIvDR9/8ol98OGH7u+teb51dPKqKy51Lf5FfZGLP6NBF6lcofcKtd03iPp51/zGngmhgzzekI02dLe60KPed/311rX/e+ppO+X0s1xYK/Hd6LSUH3/62QWeulhr7DxqHb/04mgr2PiubnxIq+4ivNVXi5abpDrPbdtEA2B/Qcrvf/ihtv488tjj9uX48UkvcKsjsuqSSadYqU6pqxCtr4n6oG4N1I2TLmapLnB0cVBvYvijwHcxIroorqjP7Fh+Ofz6a/RHgVps+/LSl6b64p42bZr7m6gFvaeW5nr95N9+c63vZcMNop8jWjY600d1Vq27dQBPFy32tEwVYk8K1nVPXWCpmxW11NZFbdVdjeiiqLrOgQ6a6btFF8BVf3Abbbh4epYlOiuCQB4AAADA8ubTzz4P7y2mrl/vuPMe17Asns4GVj7U2vTt08d22WlHKyqMNk704hs+6uKa+47Zy4rr6YakIebPj7aE1wUtRWeGa5/ZD198GT1zWnzonaxxcmuWavCdVsfhDeFb7akFoA+d1LJz07B7gXgKmXbbNRpmy8knHufeQwFYoq4F1EpWVOnVv7eola9C4NZm221GuNP6P/hwnDuV3w/PPveCK58th20ePjO6UuhCdGq1edklF7pTIb4KL87nDdl4Q9faXRf+/EswzwpI3//gQ9dy/LhjjnYXrdt9t13cxf46BRW+Ka9Y21zUpYJaP19x2cW2375j7Nyzzwzm/1jbesTwVj/fOnCxysorBcvsVNdtxh677+qWmfqTlvfe/8CdEXHxhefaMX85yi6/9CK33OO/APbYYzd3dFB1Y5edR9uChQtd4KcLEKou6PW6KOaO249yz5/ye/Ncnbc+Ckp1gVv173zlZRe59XT/YBne8LdrrFvXrvZ+MP+xrZFF67w2wDpiqm5MNH9a1l598/z773+427333CNY/7Z23RvpYIj6U1cZHnTAfq4uHX3k4e6LJ5Gth2/lPuPsM09zZ5hsGB5I8QeZWiOdbTMpri/1D8aOc/2SH3n4IW5+TjnpeFcm2nb6A2pTp051typrBdgfjvvIHbT8a1AfDwnq7F+OOsK1qN93zJ7ueZ76rNZ4vffJwfvqAIe2Ra68g+Wug3p++R191OHuPfV3Ud3VjwN1VaJ6r4Mg2k76v4talCsk1wEvrf9nnHayC9f3328ft53U+qQDS+o+RZ/9y4RlKzzWUXf1j65rVSxq4msrAAAAAEBro2tvqRFXLDWk0v7q2HEfh2OitM93y23/WqqnhNZg8PrrLhVyJ9Ohffuk3Y42xrvvvu/2/Y879i+1XW2qF454LRh6ZySwbTUtvtUyUJVSQYb6Xb7v7jvssosvcBdZS+bA/fe1xx950B5+6L7aFon/fuQxdxvvm2+jgY3C8gfvu8u9f2tp4RpPLVPljbgruCqwV/CkkNN3dzJ37jwrLyt3gZH6rdUG4Nq/3eD+5ql/Y61UanmqwPDe+x9y76P3u/ve+9WBuh2w3z625+672vQZM+0fN90avrLlVVdVWWXYjUc8teoU35WLwmF/X/0DP/3Ms64Fr+ZLXcQoNNLF+Fr7fD/7v+fdtOpif76Pe7VU9mGvugt6MnisYG/EiK1s4MAB9tHHn7gL/onKS+H5O++85y6QutVWW9i06TPsH/+8xc27gnO1xu3Vq5e7uOGwzTd1fSDf98C/3etbA/VrpWUYzIYLXRX+d+zU0fU7/c+bb3PP8fPp6cKKqhPq41lnNvjW76oT9c3zV19/E2wjvnMXfNxn72hYq4uHqtuVLYZtZrvuspPrFkT1R93jVIXdIfk6KJrm8V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Scd955JxyTGZoXzZPmLVVq8X3KKaeEjwAA2UwXpdTFnxXs1kcXrWzqi2TWpTGht87mUqvrDTbYIByTvsaE31988UV4DwAAJEPwDQBACh555BG3g5yqjTbayJ599lnXGizTxo0bF96rn1poZ5rmSfOmeUyV+gl/4oknwkcAgGym7raOOuqo8FFi6667bsotw5tCY0Lvjh072ksvvZTW92AyCr+vueYay81Nb9d8ypQp4T0AAJAMwTcAAPWYNWuWa+2dqt69e9szzzxjJSUl4ZjMSmcnvSE79KnQvGkeNa+pOv7449PqHxwAsOw655xz3AUrk7n44ovVh2f4qHk1JvTWtStefPFFGzJkSDimcb7//nsbNWpU2l2TrbnmmuE9AACQDME3AAD10M77jBkzwkd1UyD89NNPpxUIL6s0j5rXVAP+adOm2fnnnx8+AgBkM31H/PWvfw0fLUndg+y2227ho+bVmNC7ffv27mKUm2yySTimcb799lsbPny4/fHHH+GY1G288cbhPQAAkAzBNwAAdVC3Iul0cXLvvfcuVzujmlfNc6rU5cknn3wSPgIAZLOzzz7bXfQynvr2bonW3o0JvdV3ua6dsdlmm4VjGufrr7+2ESNG2J9//hmOSV3Xrl05kAwAQAoIvgEASEI7xscee2zKO8gXXHCB7bPPPuGj5YfmWfOeCp3KrTIFAGS/nj172nHHHRc+ilIXITvttFP4qPk0JvRu27atPffcczZs2LBwTON89dVXtvXWW9vUqVPDManTAYPbb7/dlS0AAKgbwTcAAEmoD+tUWyfvueeergXb8krzrjJIhVrRK0AAAGS/M88807WW9i699NLwXvNpTOitFuu6oPOWW24ZjmmcL7/80rX0Vvdf6VLofccdd9hee+0VjgEAAHUh+AYAIImrrroqvFc3XehKra9a6iJdrYFvgab+T1Nx5ZVXhvcAANmsW7dutReIVjchupBjc2pM6K1rWPz3v/91QXUmfP75566ld6rXDYnlQ++jjjoqHAMAAOpD8A0AQAKvv/66a5mcijPOOMPt2C/vVAZq2ZeK999/395+++3wEQAgm5122mnuIHFzt/ZuTOgt++23n22zzTbho8b59NNP3XvNnDkzHJM6Qm8AABqG4BsAgARSbe3dq1cvO+WUU8JHUFmoTFJBq28AWD506dLFHn300YyFyKlobOgt99xzj1199dXho4ZTt2nbbrutzZo1KxyTOkJvAAAajuAbAIA4P//8s7366qvho7pddNFF7qJXiFJZqExS8fLLL9uvv/4aPgIAZLMddtghvNf0MhF6e+ecc06jwu+PPvrIhd6zZ88Ox6SO0BsAgMYh+AYAIM4jjzwS3qvbqquuakceeWT4CJ7KRGVTHwUSDz/8cPgIAIDGy2To7TU0/B47dqxtt912NmfOnHBM6gi9AQBoPIJvAADipBrGqquO/Pz88BE8lUmq3ZgQfAMAMqUpQm8v3fD7gw8+sJEjR9rcuXPDMakj9AYAIDMIvgEAiPH555/bt99+Gz5Kbr311rM999wzfIR4KhuVUX2++uor+/LLL8NHAAA0TFOG3l6q4fd7771no0aNsnnz5oVjUkfoDQBA5hB8AwAQ48knnwzv1Y3Qu3577LFHeK9uTz31VHgPAID0NUfo7dUXfr/zzju2/fbb2/z588MxqSP0BgAgswi+AQCI8dZbb4X36rbTTjuF95DMzjvvHN6rW6plDgBAvOYMvb1k4be+z3QRzwULFoRjUkfoDQBA5hF8AwAQKi8vt3HjxoWPkuvTp48NHjw4fIRkVEa9e/cOHyX34YcfWkVFRfgIAIDUtETo7cWH32+88YbtuOOOtnDhwnBM6gi9AQBoGgTfAACEFHor/K7P6NGjw3uoTyot48vKyuyjjz4KHwEAUL+WDL09H36/9tpr7rfBokWLwr+kjtAbAICmQ/ANAEBI/XKmgm5OUpdqWb399tvhPQAA6tYaQm9P4be6NyktLQ3HpI7QGwCApkXwDQBAaPz48eG95IqLi22bbbYJH6E+KiuVWX1SKXsAAFpT6O1VVlaG91JH6A0AQNMj+AYAIPTzzz+H95IbPny4tWnTJnyE+qisVGb1SaXsAQDLt9YYejcEoTcAAM2D4BsAgNBPP/0U3ktu5ZVXDu8hVamUWSplDwBYfhF6AwCAdBF8AwAQmD17thvq07Nnz/AeUpVKmc2aNSul8gcALH8IvQEAQEMQfAMAEPjll1/Ce3Uj+E5fqmU2YcKE8B4AAFGE3gAAoKEIvgEACMydOze8V7devXqF95CqVMtszpw54T0AAAi9AQBA4xB8AwAQWLhwYXivbrT4Tl+qZZbqMgAAZD9CbwAA0FgE3wAABBYsWBDeqxstvtOXapmlugwAANmN0BsAAGQCwTcAAAFafDedHj16hPfqRotvAAChNwAAyBSCbwAAAqWlpeG95Nq0aWNFRUXho2VDdXV1eK/lFBcXW8n/s3cn8FLN/x/HP7d9UdoXohRJCJEtkqxJsoZskS2Ufyhk6WdfI2RfQoiUJRVZki3JViFpT7Rrr9tya/7n/b3fc5t7m3vv3O50l+n17PHtfL/nnJk558yZOXc+853Pt3x538pePM8BACB5EfQGAACJROAbAIBAPIHZtWvX2vr1632reHjwwQft9ddf963CsW7duriC2vE8BwCA5ETQGwAAJBqBbwAAAhUrVvS1nC1cuNDXiodVq1bZJZdcYueff76tWLHCzy1YixYt8rWc7bTTTr4GANiREPQGAADbA4FvAAAC8QZdi1vgO/T222/bAQccYN9++62fU3AWLFjgazmL98sHAEDyIOgNAAC2FwLfAAAEkrXHd7Q5c+ZY69atrU+fPgWa+zveY0bgGwB2LAS9AQDA9kTgGwCAQJUqVXwtZ0Uh8F29enVfyzsFvO+++25r1aqVzZo1y8/dvuLt8R3vcwAAKP4IegMAgO2NwDcAAIE99tjD13IWbxB3ezr11FOtdu3avrVtxo4dawceeKC9+eabfs72E++XBfE+BwCA4o2gdzoN/gwAALYfAt8AAASqVq1q1apV863sFYUe33Xq1LHRo0fbvvvu6+dsm5UrV9qFF15oF110katvL/EcMx17PQcAgORG0DvdsmXLrGPHjr4FAAC2BwLfAAB4e+65p69lb8aMGb5WuJo2bWo//vijXX311X7OtnvjjTdc7+9x48b5OYk1ffp0X8tePMceAFC8EfTeom/fvvbRRx/Z559/7ucAAIBEI/ANAIDXqFEjX8vemDFjisxPk8uXL2/PPvusDRkyJN+9pZXv++ijj7Z77rknoQNfrl271h2z3MRz7AEAxRdB7y3+++8/e/LJJ139zjvvdFMAAJB4BL4BAPD2339/X8ueArlffvmlbxUNZ511lk2YMMFatmzp52ybtLQ09wE8kT+9/uKLL+L6oiCeYw8AKJ4Iemf28MMP26pVq1z9+++/t48//tjVAQBAYhH4BgDAa9Wqla/lbPjw4b5WdOy+++721Vdf2R133GElSuTv8v7ee+/Z0KFDfSt/4j1W8R57AEDxQtA7s0WLFln//v19K12fPn18DQAAJBKBbwAAvBYtWli5cuV8K3sjR470taKlZMmSdvfdd7te1rvuuqufu23Kli3ra/kTT+Bbx1zHHgCQXAh6b+2hhx5yvx6LpjE7lO8bAAAkFoFvAAC8MmXK2OGHH+5b2Zs9e7b98ccfvlX0tG7d2iZOnGjt27f3c/KmVq1adsIJJ/jWtvv1119t3rx5vpU9HXMdewBA8iDovbX58+e7sTliUa/v4n6sAAAoagh8AwAQ5ZhjjvG1nI0YMcLXiqbq1avbsGHD3OBZee29rQ/4iejxHW/vtXiPOQCgeCDoHdsDDzxgqampvpWZvix+//33fQsAACQCgW8AAKKceeaZvpYz5cEuDrp162bjxo2zvffe28/J2aWXXmqnn366b+VPvMco3mMOACj6CHrH9s8//9gLL7zgW7H973//o9c3AAAJROAbAIAozZo1s/3228+3svfDDz/YJ5984ltF24EHHmg///yzC2rnpEGDBvbEE0/4Vv5ocEylW8mNjrWOOQCg+CPonb377rvP1q9f71ux/fbbbzZ48GDfAgAA+UXgGwCALDp16uRrOevdu3ex+XBfsWJFe+WVV2zQoEFWuXJlP3eLEiVK2GuvvWaVKlXyc7ZdWlqaOzbxiPdYAwCKNoLesamnd9euXe2ll17yc3KmdR9++GFbs2aNnwMAALYVgW8AALJQMFYffHOjfJxvv/22bxUP5513ntvuQw891M9J16tXL2vVqpVv5Y8+3E+dOtW3sqdjTOAbAIo/gt5b00CW3bt3tz333NOee+4596VwPJYtW2Y333yzNWzY0B577LFsc4IDAIDcEfgGACCL+vXr24knnuhbObvjjjts48aNvlU86MP0t99+a3379nXB7j59+tj999/vl+aPeqjdddddvpUzHWMdawBA8UXQO7NFixbZjTfeaI0aNbKnnnoq1/Qm2UnU/QAAsCMj8A0AQAzxpuqYMWNG3D9fLkpKly5tN9xwg3311VduMK14erjH4/HHH7cFCxb4Vs7iPcYAgKKJoPcW//3333bpqZ2153hx+7IdAIDCROAbAIAY1BP6yCOP9K2c3X333bZ27Vrf2nEtWbLE5SWNh45tolKrAAAKHkHvdEpNcvvtt9see+yxXXNzh7nC99prL3v55ZfjTp0CAMCOjMA3AADZiLdHsno4q5fXjkyBj6uvvtpWrVrl5+SM3t4AUHwR9E63bt06u+SSS+y+++6L+/qXX3PmzHHH/oEHHvBzAABAdgh8AwCQjXbt2m01CGR2+vfvXyxTniSK8oQPHTrUt3KmY6pjCwAofoYMGULQ2ytXrpwNGzbMPvvsMzviiCP83O2nRIkSdv7559sff/zhxhgBAAA5I/ANAEAOnnnmGfdBMx7XXnutfffdd76143jnnXfsnnvu8a2c6VjqmAIAip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)
In response to very positive feedback, there will also be a new, browser-accessible RStudio service, as well as JupyterLab with the ability to run popular languages such as julia, python, R and stata.
Number of cores on the largest servers
Two options received a significant number of responses, “4 cores” and “the more, the better”, so we’re considering a move from small/medium/large core options to “regular” and “max”. Within the “max” option, we’re investigating automatically picking the best core configuration.
Fabian will likely still offer small/medium/large options for memory.
Current performance limitations
You told us that “CPU speed”, “memory limits” and “job runtime” are the top pinch-points at the moment. The new Cloud service will enable us to offer more flexible processor speeds and memory configurations so you should see improvements there.
We’ll still need to apply some realistic limits on job runtimes to manage costs but we are considering changing how jobs are terminated: moving to a longer hard limit coupled with soft termination at flexible default times. Hopefully this will mean a better user experience for you.
Storing sensitive data
Whilst the secure research nodes should continue to be used for highly confidential research, we did want to find out whether you might want to store confidential or personally-identifiable-information on the Fabian general purpose cluster.
Your feedback indicated that there is interest in changing the scope of the general-purpose cluster to accommodate sensitive datasets. We’re investigating whether the Cloud encryption mechanisms will allow us to permit confidential data storage; personally-identifiable-information may require segregated clusters, however.
Sharing datasets and notebooks
From the questionnaire responses and workshop sessions it is clear to us that there isn’t much interest in sharing datasets: your research is your own or your project’s, especially when writing articles based on the datasets you’re using.
There is interest, however, in us providing shared notebooks for when you were collaboratively working on a project, for example. This is something we are investigating as a new supported feature.
Database hosting
Whilst overall you told us that database hosting isn’t a priority for you, for a few users it is important so we will include database hosting in our service design.
Collaborating with external researchers
Your feedback was roughly fifty-fifty on whether the provision of collaboration with non-LSE researchers is needed and important. We will investigate what is possible within technical and cost constraints to see how external collaboration can take place on the new Fabian Cloud service.
Applications and approaches for the future
There were no widely-supported suggestions for new features for the general-purpose cluster but we were already aware of interest in GPUs. This was repeated in both the questionnaire responses and the subsequent workshops and interviews.
There are cost constraints on the design of the new Fabian general-purpose cluster – the new service needs to operate within the current budget – but we do want to offer a better service where possible. Accordingly, we are investigating how we might incorporate GPU options.
From your feedback we also realised that we could do a better job of communicating what versions of applications are already available!
Suggestions on how to improve the service
Your top suggestions were for more documentation and support. We recognise that the success of the Cloud-based service will depend on how successfully we can help you transition from the current processes you know to the new, initially unfamiliar ones.
The new user groups will continue to meet during the Service design stage in order to keep you updated on how work is progressing and what final features will be available. We are hoping to be able to demo beta versions of the new Fabian general-purpose cluster once we reach that stage.