3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee +2
Predictive Virtual Machine (VM) auto-scaling is a promising technique to optimize cloud applications operating costs and performance. Understanding the job arrival rate is crucial…
cs.DC2021
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices
Piyush Subedi, Jianwei Hao, In Kee Kim +1
Many real-world applications are widely adopting the edge computing paradigm due to its low latency and better privacy protection. With notable success in AI and deep learning (DL)…
cs.DC2021★ 3 cited
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report
Jianwei Hao, Ting Jiang, Wei Wang +1
VM startup time is an essential factor in designing elastic cloud applications. For example, a cloud application with autoscaling can reduce under- and over-provisioning of VM inst…