PTSM- #1 - Monitoring, Data Center et Machine Learning
Support de présentation de Clément Bataille et Christophe Rannou sur l'usage du machine learning appliqué aux séries temporelles chez OVHCloud dans le cadre du monitoring de leur datacenters.
WE OPERATE IN A FAST GROWING MARKET where availability is essential PUBLIC CLOUD & VPS PRIVATE CLOUD DEDICATED SERVER STORAGE NETWORK & SECURITY MULTI-LOCAL EVERYWHERE RAPID DELIVERY WORD-CLASS STANDARDS
WE INNOVATE WITH EVERYONE WE ARE INDEPENDANT WE ARE THE ALTERNATIVE WHICH FREES UP THE CLOUD THROUGH CREATIVITY AND AN ENTREPRENEURIAL SPIRIT EMPLOYEES CUSTOMERS ECOSYSTEM OVH PARTNERS INNOVATION FOR FREEDOM
WE ARE A GLOBAL CLOUD PROVIDER WE ARE AN INDUSTRIAL PLAYER Hillsboro x1 17 Tbps 34 Point of Presence IN 3 CONTINENTS BHS x6 Vinthill x1 +1 400 000 CUSTOMERS IN 132 COUNTRIES Singapore x1 2 200 EMPLOYEES IN 18 COUNTRIES Sydney x1 Europe x18 BUILDER OF ITS OWN SERVERS SINCE 2002 + 1 million SERVERS built since 1999 29 DATA CENTERS in 12 locations EXISTING SINCE 1999
SIMPLE AND QUICK TO SET UP MULTI-LOCAL, CLOSE TO EACH PERSON THROUGHOUT THE WORLD WHOSE COST IS ACCESSIBLE AND PREDICTABLE REVERSIBLE, OPEN AND INTEROPERABLE TRANSPARENT AND RESPONSIBLE WE BUILD A DIFFERENT CLOUD a truly Cloud SMART TO GROW AND SUCCEED TOGETHER
Toy Use Case 8 We are going to have a look at the international airline passengers prediction problem. The initial data is in the csv format : steps passengers 1949-01 112 1949-02 118 1949-03 132 1949-04 129
Problem definition 10 What kind of problem do you want to solve ? • Simple Classification • Simple Regression • Time series classification • Time series regression/forecast
Problem definition 11 • What is your label ? • What is your ordering column ? Month Passengers 1949-01 112 1949-02 118 1949-03 132 1949-04 129 Ordering column Label
Problem definition 12 • How many steps forward do you want to predict ? One year => 12 steps • Do you want to apply a discount ? No => 1 • Scoring metric ? Default => MSE 1 Year
Stock Value Prediction: How to get rich in 5 minutes Graphs: Vegard Flovik, How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls 17
timeseriesfr
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