From 50a0e0fd33cbd3af9015241ef9ffb6e9b04f88bd Mon Sep 17 00:00:00 2001 From: Brian Kroth Date: Tue, 15 Oct 2024 15:36:37 -0500 Subject: [PATCH] Add publication links (#872) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit # Pull Request ## Title Adds a set of publication links to the front page readme. --- ## Type of Change - 📝 Documentation update --- --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index fd3eef787b..31cc6da021 100644 --- a/README.md +++ b/README.md @@ -25,6 +25,7 @@ MLOS is a project to enable autotuning for systems. - [Installation](#installation) - [See Also](#see-also) - [Examples](#examples) + - [Publications](#publications) @@ -187,3 +188,10 @@ Details on using a local version from git are available in [CONTRIBUTING.md](./C Working example of tuning `sqlite` with MLOS. These can be used as starting points for new autotuning projects. + +### Publications + +- [MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud](https://www.vldb.org/pvldb/vol17/p4269-kroth.pdf) at [VLDB 2024](https://www.vldb.org/2024/?papers-demo) +- [Towards Building Autonomous Data Services on Azure](https://dl.acm.org/doi/abs/10.1145/3555041.3589674) in [SIGMOD Companion 2023](https://dl.acm.org/doi/proceedings/10.1145/3555041) +- [LlamaTune: Sample-efficient DBMS configuration tuning](https://www.microsoft.com/en-us/research/publication/llamatune-sample-efficient-dbms-configuration-tuning) at [VLDB 2022](https://vldb.org/pvldb/volumes/15/) +- [MLOS: An infrastructure for automated software performance engineering](https://arxiv.org/abs/2006.02155) at [DEEM 2020](https://deem-workshop.github.io/2020/index.html)