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README.md
Peregrine
Peregrine is a workload optimization platform for self-tuning cloud query engines. Please see the Peregrine paper for more details:
Peregrine: Workload Optimization for Cloud Query Engines. Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan. Symposium on Cloud Computing (SoCC), 2019.
Currently, we are releasing a dataset simulator for resource allocation in 9,561 production big data pipelines. Stay tuned for more to come.
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Contact
For enquiries, please contact us.