Performance Diagnosis in Cloud Microservices Using Deep Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-76352-7_13
Reference16 articles.
1. Brandón, Á., et al.: Graph-based root cause analysis for service-oriented and microservice architectures. J. Syst. Softw. 159, 110432 (2020)
2. Chen, P., Qi, Y., Hou, D.: Causeinfer: automated end-to-end performance diagnosis with hierarchical causality graph in cloud environment. IEEE Trans. Serv. Comput. 12(02), 214–230 (2019)
3. Di Francesco, P., Lago, P., Malavolta, I.: Migrating towards microservice architectures: an industrial survey. In: ICSA, pp. 29–2909 (2018)
4. Gan, Y., et al.: Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices. In: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2019, pp. 19–33 (2019)
5. Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016). http://www.deeplearningbook.org
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MicroIRC: Instance-level Root Cause Localization for Microservice Systems;Journal of Systems and Software;2024-10
2. Grammar-Based Anomaly Detection of Microservice Systems Execution Traces;Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07
3. Autonomous selection of the fault classification models for diagnosing microservice applications;Future Generation Computer Systems;2024-04
4. Autoencoder-based Anomaly Detection in Microservices using Distributed Tracing;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21
5. Variational Autoencoder and Graph Attention Root Cause Localization Model Based on Log Data and Graph Structure;Lecture Notes in Computer Science;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3