1 citations · 4 across the 7 of their papers we have counts for
7 papers · 1 filter
Analytically-Driven Resource Management for Cloud-Native Microservices
Yanqi Zhang, Zhuangzhuang Zhou, Sameh Elnikety +1
Resource management for cloud-native microservices has attracted a lot of recent attention. Previous work has shown that machine learning (ML)-driven approaches outperform traditio…
QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope
Zhuangzhuang Zhou, Yanqi Zhang, Christina Delimitrou
Multi-stage serverless applications, i.e., workflows with many computation and I/O stages, are becoming increasingly representative of FaaS platforms. Despite their advantages in t…
Sinan: Data Driven Resource Management for Cloud Microservices
Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou +2
Cloud applications are increasingly shifting to interactive and loosely-coupled microservices. Despite their advantages, microservices complicate resource management, due to inter-…
Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices
Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou +2
Cloud applications are increasingly shifting from large monolithic services, to large numbers of loosely-coupled, specialized microservices. Despite their advantages in terms of fa…
uqSim: Scalable and Validated Simulation of Cloud Microservices
Yanqi Zhang, Yu Gan, Christina Delimitrou
Current cloud services are moving away from monolithic designs and towards graphs of many loosely-coupled, single-concerned microservices. Microservices have several advantages, in…
An Open-Source Benchmark Suite for Cloud and IoT Microservices
Yu Gan, Yanqi Zhang, Dailun Cheng +21
Cloud services have recently started undergoing a major shift from monolithic applications, to graphs of hundreds of loosely-coupled microservices. Microservices fundamentally chan…