| Using ivml to model the topology of big data processing pipelines H Eichelberger, C Qin, R Sizonenko, K Schmid Proceedings of the 20th International Systems and Software Product Line …, 2016 | 13 | 2016 |
| Impact-minimizing Runtime Switching of Distributed Stream Processing Algorithms. C Qin, H Eichelberger EDBT/ICDT Workshops 2016, 2016 | 13 | 2016 |
| Experiences with the model-based generation of big data pipelines H Eichelberger, C Qin, K Schmid Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband, 2017 | 11 | 2017 |
| Adaptive application performance management for big data stream processing H Eichelberger, C Qin, K Schmid, C Niederée Softwaretechnik Trends 35 (3), 35-37, 2015 | 7 | 2015 |
| From resource monitoring to requirements-based adaptation: An integrated approach H Eichelberger, C Qin, K Schmid Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017 | 6 | 2017 |
| Enactment of adaptation in data stream processing with latency implications—A systematic literature review C Qin, H Eichelberger, K Schmid Information and Software Technology 111, 1-21, 2019 | 5 | 2019 |
| Experiences with the Model-based Generation of Big Data Applications H Eichelberger, C Qin, K Schmid Lecture Notes in Informatics (LNI)-Datenbanksysteme für Business …, 2017 | 2 | 2017 |
| Configure, Generate, Run-Model-based Development for Big Data Processing H Eichelberger, C Niederee, A Dollas, E Ioannou, C Qin, G Chrysos, ... European Project Space on Intelligent Technologies, Software engineering …, 2016 | 2 | 2016 |
| Impact-minimizing Runtime Adaptation in Cloud-based Data Stream Processing C Qin European Conference on Service-Oriented and Cloud Computing, 274-285, 2016 | 1 | 2016 |
| Enactment of Adaptation in Data Stream Processing with Latency Implications C Qin, H Eichelberger, K Schmid Software Engineering 2020, 2020 | | 2020 |
