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Shao Cen, Deng Hui, Wang Feng, Wei Shoulin, Mei Ying, Shi Congming, Liang Bo, Dai Wei, Liu Cuiyin. A Study on Automatic Management of Compute Nodes Based on OpenStack for Observatory[J]. Astronomical Research and Technology, 2017, 14(2): 243-250.
Citation: Shao Cen, Deng Hui, Wang Feng, Wei Shoulin, Mei Ying, Shi Congming, Liang Bo, Dai Wei, Liu Cuiyin. A Study on Automatic Management of Compute Nodes Based on OpenStack for Observatory[J]. Astronomical Research and Technology, 2017, 14(2): 243-250.

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

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  • Received Date: June 20, 2016
  • Revised Date: July 11, 2016
  • Available Online: November 20, 2023
  • 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.
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