OptiMAM is a research project focusing on optimising model-driven service designs using stochastic analysis methods. The OptiMAM project focuses on the definition of novel algorithms to enable the optimisation of service-oriented architecture design and business process management. The project has a modelling scope and wants to deliver better methods for evaluating and optimising the queueing network models underpinning these optimization problems.

The research objectives of OptiMAM are to:

  1. Develop model-to-model transformations from service and process models (e.g., PCM, BPMN) to layered queueing networks (LQNs);
  2. Accurately and efficiently evaluate the resulting queueing models based on decomposition methods and matrix-analytic methods (MAM);
  3. Develop case studies on optimal service design (e.g., cloud computing, business processes), in collaboration with our partner BOC Systems;
  4. Release the developed algorithms in LINE, our open source LQN solver.

OptiMAM is a 1-year project funded by EPSRC under the First Grant scheme (EP/M009211/1). The project completed in March 2016.