Intelligent flow control algorithm for microservice system

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Computation and Systems Pub Date : 2021-04-16 DOI:10.1049/ccs2.12013
Yudong Li, Yuqing Zhang, Zhangbing Zhou, LinLin Shen
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引用次数: 1

Abstract

In microservice systems, availability can be ensured through a variety of measures, such as fault tolerance and flow limiting, which are collectively called the flow control. In the current mainstream system design, the flow control rules are usually fixed and set manually, which cannot be dynamically adjusted according to the flow shape. The performance of the system is thus not fully explored. To mitigate this problem, an adaptive dynamic flow control algorithm is proposed. Based on the system's monitoring data and current flow, the algorithm calculates the flow-limiting threshold in real time, and then it implements fine-grained service adaptive flow control to improve the resource utilization. Experimental results show that the performance of the adaptive automatic flow control is better than that of the traditional static method on resource utilization.

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微服务系统的智能流量控制算法
在微服务系统中,可以通过容错、限流等多种措施来保证可用性,这些措施统称为流控制。在目前主流的系统设计中,流量控制规则通常是固定的,并且是人工设置的,无法根据流量形态进行动态调整。因此,系统的性能没有得到充分的探讨。为了解决这一问题,提出了一种自适应动态流量控制算法。该算法基于系统监控数据和当前流量,实时计算限流阈值,实现细粒度业务自适应流量控制,提高资源利用率。实验结果表明,自适应自动流量控制在资源利用率方面优于传统静态控制方法。
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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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