A Study on Automatic Management of Compute Nodes Based on OpenStack for Observatory

Astronomical data processing is a very important part of astronomical research. With the rapid growth of function and observation capability of the new generation of telescopes, building a high performance real-time computing platform in observing sites and handling the data quickly have become a trend. Based on the real-time data processing system construction requirement of MUSER, this paper has systematically studied the implementation method based upon OpenStack local cloud and automation management pattern. We propose a strategy which can open or close compute nodes automatically and the experiments are carried out. Experiments show that this pattern can meet the needs of astronomical data processing completely and it is more efficient than other traditional data processing methods of static computing resources allocation. At the same time, it can efficiently save our energy bills and reduce the observing costs. This pattern has certain value for reference to build a high-performance computing platform for observatories in the future.