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A Method for Health Detection in Eureka Based on Load Forecasting

Chao DengXinming TanLang Li

School of Computer Science &Technology, Wuhan University of Technology

摘要:Health detection relies on the heartbeat mechanism in Eureka.The heartbeat mechanism analyzes the status of service by periodically detecting the running status of the service node.But it doesn’t care whether the service runs successfully, therefore reducing the success rate of service calls.In order to solve the problem, this paper proposes a new method for load forecasting based on time series.The value of load forecasting is used to measure the health of the service node quantitatively, and the number of available instances is effectively reduced during load balancing and the load balancing efficiency was improved.
会议名称:

2019 International Conference on Advances in Computer Technology, Information Science and Communications (CTISC 2019)

会议时间:

2019-03-15

会议地点:

中国福建厦门

  • 专辑:

    医药卫生; 电子技术及信息科学

  • 专题:

    医学教育与医学边缘学科; 计算机软件及计算机应用

  • DOI:

    10.26914/c.cnkihy.2019.004560

  • 分类号:

    R-05;TP301.6

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