activity
20232026
most citedHow Does It Function? Characterizing Long-term Trends in Production Serverless Workloads

60 citations · 61 across the 3 of their papers we have counts for

collaborators

5 papers

cs.OS2026

GMM: Generalized OS Memory Management for Programmable XPUs

Weixi Zhu, Bin Wang, Zhiyuan Fang +5

Since the AI boom, the fast evolving programmable XPU devices utilize high-bandwidth local memory to accelerate domain-specific tasks offloaded from the host CPU, resulting in a pr…

cs.LG2026

Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning

Martin Asenov, Qiwen Deng, Gingfung Yeung +1

Efficiently allocating incoming jobs to nodes in large-scale clusters can lead to substantial improvements in both cluster utilization and job performance. In order to allocate inc…

cs.DC2024

Serverless Cold Starts and Where to Find Them

Artjom Joosen, Ahmed Hassan, Martin Asenov +5

This paper releases and analyzes a month-long trace of 85 billion user requests and 11.9 million cold starts from Huawei's serverless cloud platform. Our analysis spans workloads f…

cs.LG2024★ 1 cited

DAM: Towards A Foundation Model for Time Series Forecasting

Luke Darlow, Qiwen Deng, Ahmed Hassan +5

It is challenging to scale time series forecasting models such that they forecast accurately for multiple distinct domains and datasets, all with potentially different underlying c…

cs.PF2023★ 60 cited

How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads

Artjom Joosen, Ahmed Hassan, Martin Asenov +4

This paper releases and analyzes two new Huawei cloud serverless traces. The traces span a period of over 7 months with over 1.4 trillion function invocations combined. The first t…