Microscaler: Automatic Scaling for Microservices with an Online Learning Approach
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8805195/8818298/08818401.pdf?arnumber=8818401
Cited by 68 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. TopFull: An Adaptive Top-Down Overload Control for SLO-Oriented Microservices;Proceedings of the ACM SIGCOMM 2024 Conference;2024-08-04
2. Containerized Microservices: A Survey of Resource Management Frameworks;IEEE Transactions on Network and Service Management;2024-08
3. Graph Neural Network-Based SLO-Aware Proactive Resource Autoscaling Framework for Microservices;IEEE/ACM Transactions on Networking;2024-08
4. ChangeRCA: Finding Root Causes from Software Changes in Large Online Systems;Proceedings of the ACM on Software Engineering;2024-07-12
5. Learning-driven hybrid scaling for multi-type services in cloud;Journal of Parallel and Distributed Computing;2024-07
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