# On Cloud-based Oversubscription

arXiv: https://arxiv.org/abs/1402.4758 · HTML: https://mlsanity.com/paper/1402.4758/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Feb 2014.

## Built on by (most cited first, 2 of 2)

- [Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning](https://mlsanity.com/paper/2211.11759/) (2022)
- [COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy](https://mlsanity.com/paper/2401.07051/) (2024)

## Abstract (arXiv)

Rising trends in the number of customers turning to the cloud for their computing needs has made effective resource allocation imperative for cloud service providers. In order to maximize profits and reduce waste, providers have started to explore the role of oversubscribing cloud resources. However, the benefits of cloud-based oversubscription are not without inherent risks. This paper attempts to unveil the incentives, risks, and techniques behind oversubscription in a cloud infrastructure. Additionally, an overview of the current research that has been completed on this highly relevant topic is reviewed, and suggestions are made regarding potential avenues for future work.