Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs-Reference-Cited by-同舟云学术

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

Published:2023-03-25 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
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Author:

Yang Fangkai¹,Wang Lu¹,Xu Zhenyu¹,Zhang Jue¹,Li Liqun¹,Qiao Bo¹,Couturier Camille²,Bansal Chetan³,Ram Soumya⁴,Qin Si¹,Ma Zhen³,Goiri Íñigo⁴,Cortez Eli⁴,Yang Terry⁵,Rühle Victor⁶,Rajmohan Saravan³,Lin Qingwei¹,Zhang Dongmei¹

Affiliation:

1. Microsoft Research, China

2. Microsoft 365, France

3. Microsoft 365, USA

4. Microsoft Azure, USA

5. Microsoft 365, China

6. Microsoft 365, UK

Publisher

ACM

Reference63 articles.

1. Eitan Altman . 1999. Constrained Markov decision processes: stochastic modeling . Routledge . Eitan Altman. 1999. Constrained Markov decision processes: stochastic modeling. Routledge.

2. Amazon. 2022. Amazon EC2 Spot Instances. https://www.amazonaws.cn/en/ec2/spot-instances/ Amazon. 2022. Amazon EC2 Spot Instances. https://www.amazonaws.cn/en/ec2/spot-instances/

3. Pradeep Ambati , Íñigo Goiri , Felipe Frujeri , Alper Gun , Ke Wang , Brian Dolan , Brian Corell , Sekhar Pasupuleti , Thomas Moscibroda , Sameh Elnikety , Marcus Fontoura , and Ricardo Bianchini . 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, Marcus Fontoura, and Ricardo Bianchini. 2020. Providing SLOs for Resource-Harvesting VMs in Cloud Platforms. In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’20). 735–751.

4. Apache. 2022. Open Source Serverless Cloud Platform. https://openwhisk.apache.org/ Accessed: 2022-10-19 Apache. 2022. Open Source Serverless Cloud Platform. https://openwhisk.apache.org/ Accessed: 2022-10-19

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