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Microservice performance-b
This document discusses scaling machine learning in the cloud using microservices and streaming data. It presents a model for processing streaming data with microservices running in parallel on Mesos and communicating through RabbitMQ. Performance is analyzed in terms of time spent on different components in serial versus parallel processing as the number of workers increases.
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Microservice performance-b
- 1. gannon@Indiana.edu Dennis.gannon@outlook.com Microservices and StreamingData: Scaling ML in the Cloud
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- 28. 𝑡 𝑠𝑒𝑞 =𝑓 𝑡 𝑒 , 𝑡 𝑎 𝑡 𝑝𝑎𝑟 = 𝑡 𝑐 + 𝑡 𝑤 𝑇𝑠𝑒𝑟𝑖𝑎𝑙 = 𝑡 𝑠𝑒𝑞 + 𝑡 𝑝𝑎𝑟 𝑇𝑝𝑎𝑟 𝑛 = 𝑡 𝑠𝑒𝑞 + 𝑡 𝑝𝑎𝑟 𝑛 𝑆 𝑛 = 𝑇𝑠𝑒𝑟𝑖𝑎𝑙 𝑇𝑝𝑎𝑟 𝑛 = 1 + 𝑡 𝑝𝑎𝑟 𝑡 𝑠𝑒𝑞 1 + 𝑡 𝑝𝑎𝑟 𝑛 ∗ 𝑡 𝑠𝑒𝑞 lim 𝑛→∞ 𝑆(𝑛) = 1 + 𝑡 𝑝𝑎𝑟 𝑡 𝑠𝑒𝑞 1.00 2.02 3.53 7.91 12.33 13.05