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- Fakultät IV - Wirtschaft und Informatik (6) (remove)
The transfer of historically grown monolithic software architectures into modern service-oriented architectures creates a lot of loose coupling points. This can lead to an unforeseen system behavior and can significantly impede those continuous modernization processes, since it is not clear where bottlenecks in a system arise. It is therefore necessary to monitor such modernization processes with an adaptive monitoring concept in order to be able to correctly record and interpret unpredictable system dynamics. For this purpose, a general measurement methodology and a specific implementation concept are presented in this work.
Digitale Marktplätze können die Kosten einer Handelstransaktion, die sog. Transaktionskosten, senken. Durch weiteren technischen Fortschritt und intelligente Handelsbots wird die Nutzung des Marktmechanismus immer kostengünstiger. Dieser Artikel gibt einen Überblick über die bisherige Entwicklung von Digitalen Marktplätzen der Agrar- und Ernährungswirtschaft und eine mögliche Zukunft. Vermutlich werden die Transaktionskosten weiter fallen, sodass weitere Effizienzgewinne durch die vermehrte Nutzung von Märkten möglich sein werden.
Ein Schnittstellen-Datenmodell der Variabilität in automatisch bewerteten Programmieraufgaben
(2018)
Automatisch bewertete, variable Programmieraufgaben stellen besondere Schnittstellenanforderungen an Autobewerter (Grader) und Lernmanagementsysteme (LMS). Um Wiederverwendung von Aufgaben über Systemgrenzen hinweg zu begünstigen, schlagen wir vor, Aufgabenschablonen durch eine von allen beteiligten Systemen genutzte Middleware zu instanziieren und dabei Variabilitätsinformationen in einem Schnittstellen-Datenmodell zu transportieren. Wir stellen ein solches Datenmodell vor, welches für die Grader-unabhängige Kommunikation mit LMS ausgelegt ist und beispielhaft im Autobewerter Graja implementiert wurde. Zudem wird eine Dialogkomponente für die manuelle Werteauswahl vorgestellt, die auch bei großen Wertemengen effizient und Grader-unabhängig einsetzbar ist. Die Eignung des Dialogs und des Datenmodells wird anhand eines typischen Bewertungsszenarios diskutiert.
In the context of modern mobility, topics such as smart-cities, Car2Car-Communication, extensive vehicle sensor-data, e-mobility and charging point management systems have to be considered. These topics of modern mobility often have in common that they are characterized by complex and extensive data situations. Vehicle position data, sensor data or vehicle communication data must be preprocessed, aggregated and analyzed. In many cases, the data is interdependent. For example, the vehicle position data of electric vehicles and surrounding charging points have a dependence on one another and characterize a competition situation between the vehicles. In the case of Car2Car-Communication, the positions of the vehicles must also be viewed in relation to each other. The data are dependent on each other and will influence the ability to establish a communication. This dependency can provoke very complex and large data situations, which can no longer be treated efficiently. With this work, a model is presented in order to be able to map such typical data situations with a strong dependency of the data among each other. Microservices can help reduce complexity.
Portable-micro-Combined-Heat-and-Power-units are a gateway technology bridging conventional vehicles and Battery Electric Vehicles (BEV). Being a new technology, new software has to be created that can be easily adapted to changing requirements. We propose and evaluate three different architectures based on three architectural paradigms. Using a scenario-based evaluation, we conclude that a Service-Oriented Architecture (SOA) using microservices provides a higher quality solution than a layered or Event-Driven Complex-Event-Processing (ED-CEP) approach. Future work will include implementation and simulation-driven evaluation.
Cloud computing has become well established in private and public sector projects over the past few years, opening ever new opportunities for research and development, but also for education. One of these opportunities presents itself in the form of dynamically deployable, virtual lab environments, granting educational institutions increased flexibility with the allocation of their computing resources. These fully sandboxed labs provide students with their own, internal network and full access to all machines within, granting them the flexibility necessary to gather hands-on experience with building heterogeneous microservice architectures. The eduDScloud provides a private cloud infrastructure to which labs like the microservice lab outlined in this paper can be flexibly deployed at a moment’s notice.