QueueFlower: Orchestrating Microservice Workflows via Dynamic Queue Balancing
2024-07-13
会议录名称2024 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS)
ISSN2836-3876
页码1293-1299
发表状态已发表
DOI10.1109/ICWS62655.2024.00155
摘要In microservices, requests’ workflows with the complex dependency graphs pose challenges to auto-scaling strategies. This paper presents QueueFlower, an adaptive and dependency- agnostic auto-scaling framework for orchestrating microservice workflows. QueueFlower leverages real-time latency feedback to estimate queue lengths, effectively identifying congested services without offline profiling. Unlike previous methods that build dependency graphs between services, QueueFlower operates on individual services and adjusts resources proportionally based on estimated queues, ensuring resources of services are balanced globally. We have implemented a prototype of QueueFlower and evaluated its performance on a real-world microservice application. The experimental results demonstrate that compared to baseline methods, QueueFlower significantly reduces request latencies and percentages of SLA violations under stationary and non-stationary workloads.
关键词Flow graphs Queueing networks Scaling laws Auto-scaling Dependency graphs Microservice Queue lengths Queues balancing Real- time Scalings Servicelevel agreement (SLA) Time latency Work-flows
会议名称2024 IEEE International Conference on Web Services, ICWS 2024
会议地点Shenzhen, China
会议日期7-13 July 2024
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收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20244817449658
EI主题词Queueing theory
EISSN2836-3868
EI分类号1105 ; 1201.6 ; 1201.8 ; 1301.1 ; 716.1 Information Theory and Signal Processing ; 961 Systems Science
原始文献类型Conference article (CA)
来源库IEEE
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/424475
专题信息科学与技术学院_硕士生
信息科学与技术学院_博士生
信息科学与技术学院_PI研究组_何静竹组
信息科学与技术学院_PI研究组_刘鑫组
共同第一作者He Jingzhu
通讯作者He Jingzhu; Liu Xin
作者单位
ShanghaiTech University
第一作者单位上海科技大学
通讯作者单位上海科技大学
第一作者的第一单位上海科技大学
推荐引用方式
GB/T 7714
Cao Hongchen,Liu Xinrui,Guo Hengquan,et al. QueueFlower: Orchestrating Microservice Workflows via Dynamic Queue Balancing[C]:Institute of Electrical and Electronics Engineers Inc.,2024:1293-1299.
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