云应用中微服务自动扩展的不可知方法

2019 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2019-12-01 DOI:10.1109/CSCI49370.2019.00264

Abeer Abdel Khaleq, Ilkyeun Ra

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引用次数: 23

摘要

云应用程序在本质上正变得越来越容器化。基于微服务架构开发云应用程序会带来不同的挑战，包括容器级别的可伸缩性。增加挑战的是，应用程序具有不同的QoS需求和不同的特征，需要定制的缩放方法。在本文中，我们提出了一种部署在谷歌Kubernetes引擎上的微服务自动扩展的不可知方法算法。我们的算法根据应用的特点和资源需求，采用Kubernetes的自动扩展模式。该算法在不同微服务需求上的初步测试表明，与默认的自动扩展范例相比，微服务响应时间提高了20%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Agnostic Approach for Microservices Autoscaling in Cloud Applications

Cloud applications are becoming more containerized in nature. Developing a cloud application based on a microservice architecture imposes different challenges including scalability at the container level. What adds to the challenge is that applications have different QoS requirements and different characteristics requiring a customized scaling approach. In this paper, we present an agnostic approach algorithm for microservices autoscaling deployed on the Google Kubernetes Engine. Our algorithm adapts the Kubernetes autoscaling paradigm based on the application characteristics and resource requirements. Initial testing of the algorithm on different microservices requirements show an enhancement in the microservice response time up to 20% compared to the default autoscaling paradigm.

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2019 International Conference on Computational Science and Computational Intelligence (CSCI)

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