gSLM

The gSLM project aims to improve Service Level Management (SLM) in the grid domain. This will make it easier for grid resource owners, operators, and representatives of user groups to agree upon, document and manage the many agreements between stakeholders required to make the grid run smoothly. By bringing together experts in grid operations and management with leading members of the IT Service Management community, the project will generate new approaches and concepts for grid SLM.
http://gslm.eu

Mapper

The MAPPER project will respond to the critical need by developing computational strategies, software and services for distributed multiscale simulations across disciplines, exploiting existing and evolving European e-Infrastructure. This project is driven by the computational needs of seven exemplary multiscale problems from a variety of disciplines including Systems Biology, Fusion, Physiology, Engineering, and nano-Material Science. Mapper will use and enhance existing solutions to support the multiscale simulation community, building simulation systems such as GridSpace.
http://www.mapper-project.eu/

Development of Models and Methods for Incorporating Knowledge to Support Vector Machines

The first goal of the project is to develop machine learning models with uncertain knowledge extended by mathematical structures and combined with theoretical models in the form of differential equations. The second goal is to develop methods of incorporating prior knowledge to support vector machines (SVM) based on proposed models.

The main hypotheses of this project are: 1) incorporating knowledge about mathematical structures and differential equations to machine learning models will allow us to improve generalization bounds 2) there exist efficient machine learning methods with incorporated prior knowledge about mathematical structures and differential equations for solving real world problems.