Project Description

Phoeβe (/ˈfiːbi/) wants to add basic artificial intelligence capabilities to the Linux OS.

System-level tuning is a very complex activity, requiring the knowledge and expertise of several (all?) layers which compose the system itself, how they interact with each other and (quite often) it is required to also have an intimate knowledge of the implementation of the various layers.

Another big aspect of running systems is dealing with failure. Do not think of failure as a machine turning on fire rather as an overloaded system, caused by misconfiguration, which could lead to starvation of the available resources.

In many circumstances, operators are used to deal with telemetry, live charts, alerts, etc. which could help them identifying the offending machine(s) and (re)act to fix any potential issues.

However, one question comes to mind: wouldn't it be awesome if the machine could auto-tune itself and provide a self-healing capability to the user? Well, if that is enough to trigger your interest then this is what Phoeβe aims to provide.

Phoeβe uses system telemetry as the input to its brain and produces a big set of settings which get applied to the running system. The decision made by the brain is continuously reevaluated (considering the grace_period setting) to offer eventually the best possible setup.

Goal for this Hackweek

Work mostly on two main areas:

1) Rework the data engineering part of Phoebe to add tags/labels to individual data field to be used by the model;

2) Update the model according to the data re-engineering

3) Create a tool to assist Phoebe with data manipulation so to move away from CSV files

Stretch goal: have a proper lab setup to consistently test and validate Phoebe and generate data.

Resources

URL: https://github.com/SUSE/phoebe

Events in calendar

Monday 22nd March 2021 @ 10:00 AM CEST - Meeting with Prof. Nicola Strisciuglio

Every day @ 9:00 AM CEST - Sync up on progress, opens and... have a coffee together :)

This project is part of:

Hack Week 20

Activity

  • about 1 month ago: asmorodskyi joined this project.
  • about 1 month ago: llansky3 liked this project.
  • about 1 month ago: dfaggioli liked this project.
  • about 1 month ago: hennevogel liked this project.
  • about 1 month ago: ybonatakis joined this project.
  • about 1 month ago: ybonatakis liked this project.
  • about 1 month ago: mlnoga liked this project.
  • about 1 month ago: tjyrinki_suse liked this project.
  • about 2 months ago: mvarlese added keyword "reliability" to this project.
  • about 2 months ago: mvarlese added keyword "performance" to this project.
  • All Activity

    Comments

    • dmulder
      about 2 months ago by dmulder | Reply

      I'd like to see if I could use Phoebe to tune samba settings (long term goal). So, this hackweek I think I'll just familiarize myself with Phoebe.

      • mvarlese
        about 2 months ago by mvarlese | Reply

        That's awesome!!! A can see a new plugin coming to Phoebe :)

    • mlnoga
      about 1 month ago by mlnoga | Reply

      Great one, Marco. Two points to consider:

      1. What are the top 4-5 settings to tune?
      2. What kind of data is available for the team in HackWeek to learn settings? (sourcing during Hackweek is probably not a viable option)

      • mvarlese
        about 1 month ago by mvarlese | Reply

        Thanks for the feedback Markus! Will keep both points in mind.

    Similar Projects

    Uyuni/SUSE Manager: Windows client support by pagarcia

    I'll continue the effort I started at last Hack...


    RISC-V boot deep dive (Boot FLOW from 0 to Linux Kernel) by clin

    RISC-V boot deep dive (Boot FLOW from 0 to ...


    Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil

    Join the Gitter channel! [https://gitter.im/uy...


    FuseML - accelerate your Hack Week ML projects by stefannica

    [comment]: # (Please use the project descriptio...


    Ambrogio - a privata consierge for you and your pets by rsblendido

    [comment]: # (Please use the project descriptio...


    FuseML - accelerate your Hack Week ML projects by stefannica

    [comment]: # (Please use the project descriptio...


    Anomaly analyser, predictor for kubernetes(Rancher) by sbabusadhu

    [comment]: # (Please use the project descriptio...


    NeoMutt: Show index and body of emails in a horizontal split by iivanov

    [comment]: # (Please use the project descriptio...


    multipath-tools: cleaner model for path device information by mwilck

    Project Description

    Obtaining correct inf...


    multithreaded network benchmark by mkubecek

    Project Description

    There are multiple ne...


    multipath-tools: improve CI by mwilck

    Project Description

    multipath-tools is ...


    multipathd: improve asynchronous behavior by mwilck

    Project Description

    multipathd is multi...


    YAML 1.2 Schema support for PyYAML by tinita

    [comment]: # (Please use the project descriptio...


    Build Microservice Architecture with Kubernetes by aqsa_malik

    Project Description

    The aim of the project ...


    Create short "videos/screencasts" demoing cool stuff in 5 minutes by PSuarezHernandez

    [comment]: # (Please use the project descriptio...


    One of couple of Python projects by mcepl

    There are couple of projects I work on, which n...


    Learn python, python-gtk3, play with orangepi zero, experiment ili9341 and 20x4 LCD screen by aginies

    Project Description

    Learn python: get dat...


    Git stochastic bisection by jankara

    Bisection is a well known method of localizing ...