The purpose of this project is to help a growing company reform their static information system to a dynamic system compatible with growth. The solution consists of migrating the legacy system that they have in FileMaker to an open technology platform. To solve this specific problem “patterns” have been used and this project explains these general solution “patterns”. We understand patterns like a generic solution to persistent design problems. General solutions will not only be useful in this specific problem, but they will be useful in all kind of similar migration projects as well. This thesis gives a detailed explanation of how to apply these patterns into the AEMI specific problem and how they can be useful in the migration process. The solution of the problem then, is following the advice of “patterns” to achieve our goals; these goals are the requirements that are given from the company supervisor. After the migration process a redesign process must be done in order to organize the information. This redesign consists of organizing the migrated information as well as adding the new information in the correct place. This thesis focuses on the process of migrating from a legacy system to a MySQL system through the use of the generic solution called “patterns”.  The final result is a MySQL database with all the old and new information together in a more adaptable platform for the company’s scalability.

The purpose of this study was to investigate whether a migration of data and applications towards the cloud entailed any detectable consequences. After that, our goal was to find some kind of solution to these possible problems. We did literature study and to gain a deeper understanding of these issues this study was supplemented with four semi-structured interviews. Our results show that a generally positive perception of cloud services emerges, where availability appears as the primary driving force. Different organizations have different needs, which is why it is important to determine these needs before a migration.Our conclusion is that one should undertake thorough and well-structures preparatory work. Subsequently, it is recommended to consciously choose and follow one or several established migration strategies.

Here, we investigate different cell density-dependent migration strategies. In particular, we consider strategies which differ in the precise regulation of transitions between resting and motile phenotypes. We develop a lattice-gas cellular automaton (LGCA) model for each migration strategy. Using a mean-field approximation we quantify the corresponding spreading dynamics at the cell population level. Our results allow for the prediction of cell population spreading based on experimentally accessible single cell migration parameters.