data for forecasting traffic demand for content providers

In our forthcoming paper, we try to model connectivity demand of content providers, by estimating the traffic for "Content" ASes.

As this data is not usually disclosed, we hacked our way around (by grabbing public statistics in json or processing public graphs) from the IXP websites and we coupled extracts from peeringdb.com API to know what was the bandwidth allocated to Content Providers and CDN (Akamai, Netflix, Facebook).

Perfect DB ORM with sql Alchemy

Once more I'm so glad choosing Python to implement reseach materials. First of all, I can bind to C or execute external program if i need an extra umph of performance, but I can also enjoy the pythonic way of programming.

This is the first time that I do databases in python, so I was looking for an JPA/Hibernate-like ORM that could help implementing the persitence layer. After benchmarking I decided to go with sqlAlchemy, and the result is astonishing.

Optimisation du Déploiement d’une Chaîne de Service de Livraison de Contenu Multimédia sur un Réseau Opérateur

Herbaut, N., "Optimisation du Déploiement d’une Chaîne de Service de Livraison de Contenu Multimédia sur un Réseau Opérateur", GdR RSD - Journées Cloud, 09/2016.

Communication is National Research Group - Cloud Days in Nice and 13th-14th September 2016
The talk is entitled "Optimisation du Déploiement d’une Chaîne de Service de Livraison de Contenu Multimédia sur un Réseau Opérateur" . I'll present the recent papers from Globecom 2016 and working paper on SCF Embedding.

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