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Simulation Study of Network Reconfiguration and Load-balancing Method for the Xinjiang Astronomical Observatory Data Center

Simulation Study of Network Reconfiguration and Load-balancing Method for the Xinjiang Astronomical Observatory Data Center

作     者:Jie Wang Hailong Zhang Na Wang Xinchen Ye Wanqiong Wang Jia Li Meng Zhang Yazhou Zhang Xu Du Jie Wang;Hailong Zhang;Na Wang;Xinchen Ye;Wanqiong Wang;Jia Li;Meng Zhang;Yazhou Zhang;Xu Du

作者机构:Xinjiang Astronomical ObservatoryChinese Academy of SciencesUrumgi 83001lChina University of Chinese Academy of SciencesBeijing 100049China National Astronomical Data CenterBeijing 100101China Key Laboratory of Radio AstronomyChinese Academy of SciencesNanjing 210008China 

出 版 物:《Research in Astronomy and Astrophysics》 (天文和天体物理学研究(英文版))

年 卷 期:2022年第22卷第9期

页      面:278-287页

核心收录:

学科分类:07[理学] 070401[理学-天体物理] 0704[理学-天文学] 

基  金:supported by National Key R&D Program of China No.2021YFC2203502 the National Natural Science Foundation of China (NSFC)(11803080,12173077,11873082,12003062) the Tianshan Innovation Team Plan of Xinjiang Uygur Autonomous Region (2022D14020) the Youth Innovation Promotion Association CAS National Key R&D Program of China No.2018 YFA0404704 

主  题:virtual observatory tools astronomical databases:miscellaneous methods:miscellaneous 

摘      要:The Xinjiang Astronomical Observatory Data Center faces issues related to delay-affected services. As a result, these services cannot be implemented in a timely manner due to the overloading of transmission links. In this paper, the software-defined network technology is applied to the Xinjiang Astronomical Observatory Data Center Network(XAODCN). Specifically, a novel reconfiguration method is proposed to realise the software-defined Xinjiang Astronomical Observatory Data Center Network(SDXAO-DCN), and a network model is constructed. To overcome the congestion problem, a traffic load-balancing algorithm is designed for fast transmission of the service traffic by combining three factors: network structure, congestion level and transmission service. The proposed algorithm is compared with current commonly load-balancing algorithms which are used in data center to verify its efficiency. Simulation experiments show that the algorithm improved transmission performance and transmission quality for the SDXAO-DCN.

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