Happy 2015 - The start of SmileIT

The SMILE-IT project was set up because of a very clear demand by a large number of Flemish companies to help in the automation of management of their networks. The term ’network’ is broadly defined as any system consisting of a large number of agents that collaborate. Examples are telecommunication, smart grids, intelligent car systems, etc. Flemish companies include device manufacturers, service provider that rely on the network to deliver their service, network management software providers, etc. The increasing complexity of these networks requires more automated, intelligent and scalable ways of managing them.
The Flemish industry’s interest is two-fold. Some companies are looking for advanced ways of steering their network and establishing communication between the agents. Others, have an additional interest in the use of cognition to go beyond static and deterministic management. Therefore, SMILE-IT defines two levels of automated management. On the one hand, it will investigate the use of advanced distributed programming techniques that hide the network’s complexity. On the other hand, the distributed programming layer will be augmented with a framework that controls agents using machine learning techniques in order to facilitate mutual cooperation.
Four main target sectors have been identified, which can significantly benefit from the results of the SMILE- IT project. Companies within these sectors have been grouped in four corresponding valorisation clusters: consortia of Flemish industry, each having a particular valorisation post-track in mind. These clusters are:
• Cognitive management of on-line video delivery: design of a multi-agent video streaming service where network proxies and video players jointly decide on the best delivery parameters.
• Management of clouds and network functions virtualisation: design of a cloud-based system to programmatically define new services without requiring a redesign of the management architecture.
• Management of smart grids: intelligent control of demand response systems on the level of clusters.
• Intelligent traffic management: development of safe automated driving systems, intelligent management of road-side infrastructure and the interaction between them.