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University of Groningen
Nijenborgh 9
9747 AG Groningen
The Netherlands

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2020

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  1. Degeler, V., Heydenrijk-Ottens, L., Luo, D., van N. Oort, & van Lint, H. (2020). Unsupervised approach towards analysing the public transport bunching swings formation phenomenon. Public Transport. https://doi.org/https://doi.org/10.1007/s12469-020-00251-z">10.1007/s12469-020-00251-z
  2. Haghshenas, K., & Mohammadi, S. (2020). Prediction-Based Underutilized and Destination Host Selection Approaches for Energy-Efficient Dynamic VM Consolidation in Data Centers. The Journal of Supercomputing. https://link.springer.com/article/10.1007/s11227-020-03248-4
  3. Groefsema, H., van Beest, N. R. T. P., & Armas-Cervantes, A. (2020). Efficient conditional compliance checking of business process models. Computers in Industry, 115. https://doi.org/10.1016/j.compind.2019.103181
  4. Haghshenas, K., Taheri, S., Goudarzi, M., & Mohammadi, S. (2020). Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization. IEEE Transactions on Cloud Computing, 10, 972–983. https://doi.org/10.1109/TCC.2020.2977040
  5. Alyahyan, E., & Düştegör, D. (2020). Predicting academic success in higher education: literature review and best practices. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-0177-7
  6. Tatar, A. E., & Düştegör, D. (2020). Prediction of academic performance at undergraduate graduation: Course grades or grade point average? Applied Sciences (Switzerland), 10(14). https://doi.org/10.3390/app10144967
  7. Pratama, A. R. (2020). Office Occupancy Detection based on Power Meters and BLE Beaconing [PhD thesis, University of Groningen]. https://doi.org/10.33612/diss.147276967
  8. Sha, A. (2020). Optimization of energy distribution in smart grids [PhD thesis, University of Groningen]. https://www.rug.nl/research/portal/files/119593412/Complete_thesis.pdf
  9. van der Gaag, M. A. E., Emerencia, N. R. S. A. C., Blaauw, F. J., Bron, G. G., & Kunnen, E. S. (2020). Theorie: processen van voortijdig schoolverlaten en begeleiding om dat te voorkomen. In M. A. E. van der Gaag, N. R. Snell, G. G. Bron, & E. S. Kunnen (Eds.), Voortijdig schoolverlaten voorkomen Perspectieven van wetenschap, praktijk en beleid (1st ed., pp. 16–29). Uitgeverij Acco. https://u-can-act.nl/wp-content/uploads/2020/05/Van-der-Gaag-et-al.-2020-Voortijdig-schoolverlaten-voorkomen_-perspectieven-van-wetenschap-praktijk-en-beleid.pdf
  10. Snell, N. R., Bron, G. G., Emerencia, A. C., Kunnen, E. S., Blaauw, F. J., de Jonge, P., & van der Gaag, M. (2020). Procesonderzoek: processen van uitvallen, blijven en begeleiding. In M. A. E. van der Gaag, N. R. Snell, G. G. Bron, & E. S. Kunnen (Eds.), Voortijdig schoolverlaten voorkomen Perspectieven van wetenschap, praktijk en beleid (1st ed., pp. 59–139). Uitgeverij Acco. https://u-can-act.nl/wp-content/uploads/2020/05/Van-der-Gaag-et-al.-2020-Voortijdig-schoolverlaten-voorkomen_-perspectieven-van-wetenschap-praktijk-en-beleid.pdf
  11. Kundel, R., Nobach, L., Blendin, J., Maas, W., Zimber, A., Kolbe, H., Schyguda, G., Gurevich, V., Hark, R., Koldehofe, B., & Steinmetz, R. (2020). OpenBNG: Central office network functions on programmable data plane hardware. International Journal of Network Management, 25 pages. https://doi.org/10.1002/nem.2134
  12. Schulte, S., Koldehofe, B., Reinhardt, A., & Braun, T. (2020). Grußwort der Gastherausgeber zum Thema Fog Computing. Informatik Spektrum, 42(6), 455—456. https://doi.org/10.1007/s00287-019-01230-w
  13. Langley, D. J., van Doorn, J., Ng, I. C. L., Stieglitz, S., Lazovik, A., & Boonstra, A. (2020). The Internet of Everything: Smart things and their impact on business models. Journal of Business Research. https://doi.org/https://doi.org/10.1016/j.jbusres.2019.12.035
  14. Yousefi, M. H. N., Ghiassi, A., Hashemi, B. S., & Goudarzi, M. (2020). Workload Scheduling on heterogeneous Mobile Edge Cloud in 5G networks to Minimize SLA Violation. ArXiv Preprint ArXiv:2003.02820.
  15. Medema, M., & Lazovik, A. (2020). The Community Structure of Constraint Satisfaction Problems and Its Correlation with Search Time. 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 153–160. https://doi.org/10.1109/ICTAI50040.2020.00034
  16. Kundel, R., Siegmund, F., Blendin, J., Rizk, A., & Koldehofe, B. (2020). P4STA: High Performance Packet Timestamping with Programmable Packet Processors. Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 9 pages. https://doi.org/10.1109/NOMS47738.2020.9110290
  17. Kundel, R., Gaertner, C., Luthra, M., Bhowmik, S., & Koldehofe, B. (2020). Flexible Content-based Publish/Subscribe over Programmable Data Planes. Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 6 pages. https://doi.org/10.1109/NOMS47738.2020.9110381
  18. Kundel, R., Rizk, A., & Koldehofe, B. (2020). Microbursts in Software and Hardware-based Traffic Load Generation. Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 2 pages. https://doi.org/10.1109/noms47738.2020.9110305
  19. Luthra, M., Hennig, S., Razavi, K., Wang, L., & Koldehofe, B. (2020). Operator as a Service: Stateful Serverless Complex Event Processing. Proceedings of the 2020 IEEE International Conference on Big Data, 1964–1973. https://doi.org/10.1109/BigData50022.2020.9378142
  20. Fiorini, L., & Aiello, M. (2020). Predictive Multi-Objective Scheduling with Dynamic Prices and Marginal CO2-Emission Intensities. ACM e-Energy 2020.
  21. Fiorini, L., Steg, L., & Aiello, M. (2020). Sustainability Choices when Cooking Pasta. ACM e-Energy 2020.
  22. Georgievski, I., Fiorini, L., & Aiello, M. (2020). Towards Service-Oriented and Intelligent Microgrids. Proceedings of the 3rd International Conference on Applications of Intelligent Systems. https://doi.org/https://doi.org/10.1145/3378184.3378214">10.1145/3378184.3378214