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The paper presents an experimental study on the migration of scientific applications from Grid to Cloud Cluster infrastructure. The research aims to highlight the main conceptual, technical, and technological issues of such a process by exploring solutions for distributed processing, execution and management of a complex task, increased data management, and gathering of processed data. As a case study, the Grid based gSWAT application is used, supporting the SWAT hydrological model calibration over the Grid infrastructure. The main challenge of the research is the mapping of the gSWAT platform and data model onto the services and resources provided by the infrastructure, platform, and software Cloud levels. The Cloud related experiments are based on the OpenNebula and Hadoop technologies.

Live tracking is essential in the case of public transportation systems. Furthermore, making public the locations of public transportation units can also be useful. It not only helps the transportation providers, but the clients, as well.A general live tracking framework is proposed. It is applicable for any kind of logistics system. In this study the Romanian railway system is used as a test environment. Train movements are simulated based on timetables.Using the framework a web application is developed. A map service is used for displaying the railway system and the simulation.