June 4, 2024, 9:02 p.m. | USENIX

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NSDI '24 - Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices

Zibo Wang, University of Science and Technology of China and Microsoft Research; Pinghe Li, ETH Zurich; Chieh-Jan Mike Liang, Microsoft Research; Feng Wu, University of Science and Technology of China; Francis Y. Yan, Microsoft Research
Awarded Outstanding Paper!

Achieving resource efficiency while preserving end-user experience is non-trivial for cloud application operators. As cloud applications progressively adopt microservices, resource managers are faced with two distinct levels of …

china eth management microservices microsoft research resource science slo technology university wang zurich

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