most citedSpeculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster

44 citations · 68 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2020★ 1 cited

Enhancing Cloud Storage with Shareable Instances for Social Computing

Ying Mao, Peizhao Hu

Cloud storage plays an important role in social computing. This paper aims to develop a cloud storage management system for mobile devices to support an extended set of file operat…

cs.DC2020★ 44 cited

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster

Ying Mao, Yuqi Fu, Wenjia Zheng +3

In the past decade, we have witnessed a dramatically increasing volume of data collected from varied sources. The explosion of data has transformed the world as more information is…

cs.DC2020★ 21 cited

Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the Cloud

Ying Mao, Weifeng Yan, Yun Song +4

With the prevalence of big-data-driven applications, such as face recognition on smartphones and tailored recommendations from Google Ads, we are on the road to a lifestyle with si…

cs.DC2020

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes

Ying Mao, Yuqi Fu, Suwen Gu +3

Businesses have made increasing adoption and incorporation of cloud technology into internal processes in the last decade. The cloud-based deployment provides on-demand availabilit…

cs.NI2018★ 2 cited

MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward

Wei Yin, Peizhao Hu, Jadwiga Indulska +2

Rate control at the MAC-layer is one of the fundamental building blocks in many wireless networks. Over the past two decades around thirty mechanisms have been proposed in the lite…