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The development of knowledge management tools shows a difference between the information system practice and the non-technological solutions: most of the time, the direction of the efforts is not presenting the same way, and not integrating each other. It is the same in the real life practice: there is a problem that the technological tools are not able to(More)
Embedded systems are usually modeled to simulate their behavior. Nowadays, this modeling is often implemented in the Simulink environment, which offers strong support for modeling complex systems. Moreover, via modeling, various analyses can be applied to the systems at design time. An important analysis is of the data types assigned to signal variables.(More)
In recent years, the MapReduce framework has become one of the most popular parallel computing platforms for processing big data. MapReduce is used by companies such as Facebook, IBM, and Google to process or analyze massive data sets. Since the approach is frequently used for industrial solutions, the algorithms based on the MapReduce framework gained(More)
Finding patterns in graphs is a fundamental problem in graph theory, and also a practical challenge during the analysis of big data sets. Inexact patterns may correspond to a set of possible exact graphs. Their use is important in many fields where pattern matching is applied (e.g. mining in social networks or criminal investigations). Based on previous(More)
As internal cloud, and cloud technologies widespread among companies, the responsibility of providing reliable IT infrastructure and adequate capacities became the top priority for companies. While internal clouds and related technologies creates the flexibility for customer, limited IT resources arise problems for providing capacities, that has impact on(More)
Embedded systems are often modeled using Matlab Simulink to simulate their behavior. These systems contain several different models. During the execution of these systems, the Simulink must provide some transformations for its models. One of the most common transformations is the flattening of the virtual subsystems within these models. If we execute the(More)
Nowadays model transformation is used frequently in software development. Therefore, its effectiveness and usability have a big influence on the whole development phase. The attributes of the model transformation are mainly determined by the applied model transformation language. The goal is to develop an expressive, versatile but still effectively(More)