Synchromedia research has a strong focus on smart traffic analyzer and QoS provisioning based on big data mining. Various models have been built for both intra and inter-data center network and a framework for optimally allocating resources according to each traffic model has been developed, in particular with respect to Telco and HPC applications.

Based on advanced learning algorithms, the relationship between application requirements and underlying traffic is discovered. These patents are contextualized to understand the behaviors of network elements, applications, and data centers, thus help optimize operational activities.

Traffic modeling and big data analytical methods introduced by the Synchromedia team have effectively been used in both cloud computing and Future Internet fields. 



Research Topics:

  • Traffic Differentiation
  • Bulk Traffic Models
  • Cross-layer Mapping
  • Intensive Data Management
  • Big Data Mining and Visualization