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.
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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.
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