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Results: 23
Number of items: 23
  • Open Access
    Comte, C., & Dorsman, J.-P. (2021). Pass-and-swap queues. Queueing Systems, 98(3-4), 275-331. https://doi.org/10.1007/s11134-021-09700-3
  • Open Access
    Zhou, H., Dorsman, J. L., Snelder, M., Mandjes, M., & Romph, E. D. (2021). Effective determination of MaaS trip modes in activity-based demand modelling. In P. Bonnel, & G. Monchambert (Eds.), hEART 2020: 9th European Association for Research in Transportation, February 3-4 2021 hEART. https://transp-or.epfl.ch/heart/2020.php
  • Open Access
    Ayesta, U., Bodas, T., Dorsman, J. L., & Verloop, I. M. (2021). A Token-Based Central Queue with Order-Independent Service Rates. Operations Research, 70(1), 545-561. https://doi.org/10.1287/opre.2020.2088
  • Open Access
    van Kreveld, L. R., Boxma, O. J., Dorsman, J. L., & Mandjes, M. R. H. (2021). Scaling limits for closed product-form queueing networks. Performance Evaluation, 151, Article 102220. https://doi.org/10.1016/j.peva.2021.102220
  • van Kreveld, L. R., Boxma, O. J., Dorsman, J. L., & Mandjes, M. R. H. (2020). Scaling analysis of an extended machine-repair model. In Proceedings of the 13th EAI International Conference on Performance Evaluation Methodologies and Tools: VALUETOOLS 2020 : May 18-20, 2020, Tsukuba, Japan (pp. 172-179). The Association for Computing Machinery. https://doi.org/10.1145/3388831.3388835
  • Scully, Z., van Kreveld, L., Boxma, O., Dorsman, J.-P., & Wierman, A. (2020). Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. Performance Evaluation Review, 48(1), 35-36. https://doi.org/10.1145/3410048.3410069, https://doi.org/10.1145/3393691.3394179
  • Scully, Z., van Kreveld, L., Boxma, O., Dorsman, J.-P., & Wierman, A. (2020). Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. In SIGMETRICS Performance'20: abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems : June 8 -12, 2020, Boston, MA, USA (pp. 35-36). The Association for Computing Machinery. https://doi.org/10.1145/3393691.3394179, https://doi.org/10.1145/3393691.3394179
  • Open Access
    Scully, Z., van Kreveld, L., Boxma, O., Dorsman, J.-P., & Wierman, A. (2020). Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 4(2), Article 30. https://doi.org/10.1145/3392148
  • Open Access
    Zhou, H., Dorsman, J. L., Snelder, M., Romph, de, E., & Mandjes, M. R. H. (2019). GPU-based Parallel Computing for Activity-based Travel Demand Models. In E. Shakshuki (Ed.), The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops (Vol. 151, pp. 726-732). (Procedia Computer Science). Elsevier. https://doi.org/10.1016/j.procs.2019.04.097
  • Open Access
    Abidini, M. A., Dorsman, J.-P., & Resing, J. (2019). Heavy traffic analysis of a polling model with retrials and glue periods. Stochastic Models, 34(4), 464-503. https://doi.org/10.1080/15326349.2018.1530601
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