Wayfinder: Towards Automatically Deriving Optimal OS Configurations

Alexander Jung, Hugo Lefeuvre, Charalampos Rotsos, Pierre Olivier, Felipe Huici, Mathias Niepert, Daniel Oñoro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Tuning operating systems configuration in order to obtain the maximum application performance is a hard problem. This is due to the extremely large size of the configuration space offered by modern OSes, and to the fact that it is generally explored manually. To address that issue, we propose to bring automation to the OS configuration space exploration process, in order to derive effortlessly and as quickly as possible optimal OS configurations for a given use case. We present Wayfinder, a generic OS performance evaluation platform. Wayfinder is fully automated and ensures both the accuracy and reproducibility of results, all the while speeding up how fast tests are run on a system. Wayfinder is easily extensible and offers convenient APIs to (1) implement custom configuration space exploration techniques, (2) add new benchmarks and (3) support additional OS projects. We demonstrate Wayfinder’s capacity to automatically and efficiently explore a LibOS’ networking configuration space; as well as its ability to efficiently isolate parallel experiments to avoid noisy neighbours.
Original languageEnglish
Title of host publication12th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys)
Publication statusAccepted/In press - 29 Jun 2021


Dive into the research topics of 'Wayfinder: Towards Automatically Deriving Optimal OS Configurations'. Together they form a unique fingerprint.

Cite this