A5057396498- Advanced Software Engineering Methodologies
- Software System Performance and Reliability
- Software Engineering Research
- Urban and Freight Transport Logistics
- IoT and Edge/Fog Computing
- Advanced Manufacturing and Logistics Optimization
- Mobile Crowdsensing and Crowdsourcing
- Optimization and Packing Problems
- Software Reliability and Analysis Research
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Service-Oriented Architecture and Web Services
- Vehicle Routing Optimization Methods
- Ferroelectric and Negative Capacitance Devices
- Data Management and Algorithms
- Cloud Computing and Resource Management
- Time Series Analysis and Forecasting
University of Würzburg
2021-2024
Abstract In warehouses, order picking is known to be the most labor-intensive and costly task in which employees account for a large part of warehouse performance. Hence, many approaches exist, that optimize process based on diverse economic criteria. However, these focus single objective at once disregard ergonomic criteria their optimization. Further, influence placement items picked underestimated accordingly, too little attention paid interdependence two problems. this work, we aim...
In today’s world, circumstances, processes, and requirements for software systems are becoming increasingly complex. To operate properly in such dynamic environments, must adapt to these changes, which has led the research area of Self-Adaptive Systems (SAS). Platooning is one example adaptive Intelligent Transportation Systems, ability vehicles travel with close inter-vehicle distances. This technology leads an increase road throughput safety, directly addresses increased infrastructure...
As the market for cloud computing continues to grow, an increasing number of users are deploying applications as microservices. The shift introduces unique challenges in identifying and addressing performance issues, particularly within large complex infrastructures. To address this challenge, we propose a methodology that unveils temporal deviations microservices by clustering containers based on their characteristics at different time intervals. Showcasing our Alibaba dataset, found both...
To fulfill Mark Weiser's vision that "the most profound technologies are those disappear", pervasive computing systems inherently have (i) to interact with the environment and users but also (ii) adapt their behavior changes in environment. Due dynamic, non-deterministic of systems, uncertainty arises. In this paper, we conduct a case study domain driver assistance show proactive adaptations, i.e., adaptations advance, increases an extension planning horizon.
In today's world, circumstances, processes, and requirements for software systems are becoming increasingly complex. order to operate properly in such dynamic environments, must adapt these changes, which has led the research area of Self-Adaptive Systems (SAS). Platooning is one example adaptive Intelligent Transportation Systems, ability vehicles travel with close inter-vehicle distances. This technology leads an increase road throughput safety, directly addresses increased infrastructure...
Stable and repeatable measurements are essential for comparing the performance of different systems or applications, benchmarks used to ensure accuracy replication. However, if corresponding not stable repeatable, wrong conclusions can be drawn. To facilitate task determining whether similar, we a data set 586 micro-benchmarks (i) analyze itself, (ii) examine our previous approach, (iii) propose evaluate heuristic. approaches, perform peer review assess dissimilarity benchmark runs. Our...
In the last decades, especially intensified by pandemic situation in which many people stay at home and order goods online, need for efficient logistics systems has increased significantly. Hence, performance of optimization techniques logistic processes are becoming more important. These often require estimates about distances to customers facilities where operators have choose between exact results or short computation times. this vision paper, we propose an approach Flexible Adaptive...