Managing services in the telecom cloud: An example for CDN

Telecom operators are considering the deployment of Content Delivery Networks (CDN) to better control and manage video contents injected into the network. Cache nodes placed close to end users can manage access contents and adapt them to users' devices, while reducing video traffic in the core. By adopting the recently standardized MPEG-DASH technique, video contents can be delivered over HTTP, so HTTP servers can be used to serve contents, while packagers running as software can prepare live contents. This paves the way for virtualizing the CDN function. In this talk, a CDN manager is proposed to adapt the virtualized CDN function to current and future demand. A Big Data architecture, fulfilling the ETSI NFV guidelines, allows controlling virtualized components while collecting and pre-processing data. Re-optimization problems minimizing CDN costs while ensuring the highest quality are triggered based on threshold violations; data stream mining sketches transform collected into modelled data and statistical linear regression and machine learning techniques are proposed to produce estimation of future scenarios. Exhaustive simulation over a realistic scenario reveal remarkable costs reduction by dynamically reconfiguring the CDN. Finally, the feasibility of the proposed architecture is experimentally assessed in a real environment.