An Investigation on Public Cloud Performance Variation for an RNA Sequencing Workflow

Author:

Perez David1,Hung Ling-Hong1,Xu Sonia1,Yeung Ka Yee1,Lloyd Wes1

Affiliation:

1. School of Engineering and Technology, University of Washington, Tacoma, WA

Funder

National Institutes of Health

National Science Foundation

Publisher

ACM

Reference19 articles.

1. New - Amazon EC2 C5a Instances Powered By 2nd Gen AMD EPYC™ Processors. https://aws.amazon.com/blogs/aws/new-amazon-ec2-c5a-instances-powered-by-2nd-gen-amd-epyc-processors/ New - Amazon EC2 C5a Instances Powered By 2nd Gen AMD EPYC™ Processors. https://aws.amazon.com/blogs/aws/new-amazon-ec2-c5a-instances-powered-by-2nd-gen-amd-epyc-processors/

2. On detecting co-resident cloud instances using network flow watermarking techniques

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1. Characterizing X86 and ARM Serverless Performance Variation;Companion of the 2022 ACM/SPEC International Conference on Performance Engineering;2022-07-14

2. Prediction of resource contention in cloud using second order Markov model;Computing;2021-06-14

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