Analytically-Driven Resource Management for Cloud-Native Microservices

no code implementations • 5 Jan 2024 • Yanqi Zhang, Zhuangzhuang Zhou, Sameh Elnikety, Christina Delimitrou

Resource management for cloud-native microservices has attracted a lot of recent attention.

Management

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

no code implementations • 16 Dec 2022 • Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou

We evaluate our methodology on several production AI models, and show that benchmarks generated with Mystique closely resemble original AI models, both in execution time and system-level metrics.

Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices

no code implementations • 27 May 2021 • Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, Edward Suh, Christina Delimitrou

Cloud applications are increasingly shifting from large monolithic services, to large numbers of loosely-coupled, specialized microservices.

Management

Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices

no code implementations • 2 May 2019 • Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou

We show that Seer correctly anticipates QoS violations 91% of the time, and avoids the QoS violation to begin with in 84% of cases.