{"id":709843,"date":"2020-12-03T13:41:29","date_gmt":"2020-12-03T21:41:29","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=709843"},"modified":"2022-01-13T09:35:44","modified_gmt":"2022-01-13T17:35:44","slug":"resonance-replacing-software-constants-with-context-aware-models-in-real-time-communication","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/resonance-replacing-software-constants-with-context-aware-models-in-real-time-communication\/","title":{"rendered":"Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication"},"content":{"rendered":"<p>Large software systems tune hundreds of \u2018constants\u2019 to optimize their runtime performance. These values are commonly derived through intuition, lab tests, or A\/B tests. A \u2018one-size-fits-all\u2019 approach is often sub-optimal as the best value depends on runtime context. In this paper, we provide an experimental approach to replace constants with learned contextual functions for Skype- a widely used realtime communication (RTC) application. We present Resonance, a system based on contextual bandits (CB). We describe experiences from three real-world experiments: applying it to the audio, video, and transport components in Skype. We surface a unique and practical challenge of performing machine learning (ML) inference in large software systems written using encapsulation principles. Finally, we open-source <em>FeatureBroker<\/em>, a library to reduce the friction in adopting ML models in such development environments.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Large software systems tune hundreds of \u2018constants\u2019 to optimize their runtime performance. These values are commonly derived through intuition, lab tests, or A\/B tests. A \u2018one-size-fits-all\u2019 approach is often sub-optimal as the best value depends on runtime context. In this paper, we provide an experimental approach to replace constants with learned contextual functions for Skype- [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"NeurIPS 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