Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Author:

Yang Fangkai1,Pang Bowen1,Zhang Jue1,Qiao Bo1,Wang Lu1,Couturier Camille2,Bansal Chetan3,Ram Soumya4,Qin Si1,Ma Zhen5,Goiri Íñigo3,Cortez Eli4,Baladhandayutham Senthil5,Rühle Victor2,Rajmohan Saravan5,Lin Qingwei1,Zhang Dongmei1

Affiliation:

1. Microsoft Research, China

2. Microsoft 365, United Kingdom

3. Microsoft Research, USA

4. Microsoft Azure, USA

5. Microsoft 365, USA

Publisher

ACM

Reference37 articles.

1. Alibaba. [n. d.]. Alibaba Preemptible Instances. https://www.alibabacloud.com/help/doc-detail/52088.htm. Accessed: 2021-10-25. Alibaba. [n. d.]. Alibaba Preemptible Instances. https://www.alibabacloud.com/help/doc-detail/52088.htm. Accessed: 2021-10-25.

2. Amazon. [n. d.]. Amazon EC2 Spot Instances. https://www.amazonaws.cn/en/ec2/spot-instances/. Accessed: 2021-10-25. Amazon. [n. d.]. Amazon EC2 Spot Instances. https://www.amazonaws.cn/en/ec2/spot-instances/. Accessed: 2021-10-25.

3. Amazon. [n. d.]. Spot Instance Interruptions. https://docs.amazonaws.cn/en_us/AWSEC2/latest/UserGuide/spot-interruptions.html. Accessed: 2021-10-25. Amazon. [n. d.]. Spot Instance Interruptions. https://docs.amazonaws.cn/en_us/AWSEC2/latest/UserGuide/spot-interruptions.html. Accessed: 2021-10-25.

4. Pradeep Ambati , Íñigo Goiri , Felipe Frujeri , Alper Gun , Ke Wang , Brian Dolan , Brian Corell , Sekhar Pasupuleti , Thomas Moscibroda , Sameh Elnikety , 2020. Providing slos for resource-harvesting vms in cloud platforms . In 14th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 20). 735–751. Pradeep Ambati, Íñigo Goiri, Felipe Frujeri, Alper Gun, Ke Wang, Brian Dolan, Brian Corell, Sekhar Pasupuleti, Thomas Moscibroda, Sameh Elnikety, 2020. Providing slos for resource-harvesting vms in cloud platforms. In 14th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 20). 735–751.

5. Mariette Awad and Rahul Khanna . 2015. Support vector regression . In Efficient learning machines . Springer , 67–80. Mariette Awad and Rahul Khanna. 2015. Support vector regression. In Efficient learning machines. Springer, 67–80.

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1. Making Cloud Spot Instance Interruption Events Visible;Proceedings of the ACM Web Conference 2024;2024-05-13

2. How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2023-06

3. Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2023-03-25

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