Litcius/Paper detail

MLOS

Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu

202014 citationsDOIOpen Access PDF

Abstract

MLOS is a Data Science powered infrastructure and methodology to democratize and automate Software Performance Engineering. MLOS enables continuous, instance-level, robust, and trackable systems optimization.

Topics & Concepts

Computer scienceSoftware engineeringSoftwareProgramming languageSystems engineeringEngineering drawingEngineeringSoftware System Performance and ReliabilityScientific Computing and Data ManagementCloud Computing and Resource Management