Wenli Zheng

Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers

2020

Large-scale datacenters often host latency-sensitive services that have stringent Quality-of-Service requirement and experience diurnal load pattern. Co-locating best-effort applications that have no QoS requirement with latency-sensitive services has been widely used to improve the resource …

FIFL: A Fair Incentive Mechanism for Federated Learning

2021

Federated learning is a novel machine learning framework that enables multiple devices to collaboratively train high-performance models while preserving data privacy. Federated learning is a kind of crowdsourcing computing, where a task publisher shares profit …

Exploiting Virtual Energy Storage to Improve Power Oversubscription in Colocation Data Centers

2025

For a colocation data center with power oversubscription, its power capacity can be inadequate when the power loads of all the tenants peak simultaneously, due to lack of collaboration. In this paper, we point out …