计算机科学
负载平衡(电力)
调度(生产过程)
云计算
分布式计算
功率消耗
负荷管理
可靠性(半导体)
功率(物理)
操作系统
工程类
运营管理
量子力学
电气工程
物理
数学
网格
几何学
作者
Yan Sun,Haige Xiang,Qiukai Ye,Jun Yang,Ming Xian,Huimei Wang
标识
DOI:10.1109/ispds58840.2023.10235497
摘要
Kubernetes, an open-source project initiated by Google for managing and organizing containers in cloud platforms, has become the preferred choice for deploying large-scale containerized microservice architectures. However, there exist challenges related to allocating hardware resources and optimizing load balancing strategies for external access, which require high reliability and low power consumption. This paper introduces the native scheduling and load balancing strategies in Kubernetes and highlights the current issues in these strategies. Subsequently, it presents four existing optimization and improvement strategies for addressing these issues, along with related research. Furthermore, the paper proposes research directions and development suggestions for large-scale cluster applications and diversified business expansions.
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