微服务
杠杆(统计)
计算机科学
缩放比例
分布式计算
多路复用
服务(商务)
操作系统
云计算
人工智能
电信
几何学
数学
经济
经济
作者
Shutian Luo,Huanle Xu,Kejiang Ye,Guoyao Xu,Liping Zhang,Guodong Yang,Cheng‐Zhong Xu
标识
DOI:10.1145/3542929.3563477
摘要
When deploying microservices in production clusters, it is critical to automatically scale containers to improve cluster utilization and ensure service level agreements (SLA). Although reactive scaling approaches work well for monolithic architectures, they are not necessarily suitable for microservice frameworks due to the long delay caused by complex microservice call chains. In contrast, existing proactive approaches leverage end-to-end performance prediction for scaling, but cannot effectively handle microservice multiplexing and dynamic microservice dependencies.
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