Search results
Results: 26
Number of items: 26
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Alsayed Kassem, J., Zhong, L., Taal, A., & Grosso, P. (2023). Adaptive Services Function Chain Orchestration for Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach. In C. J. Bernardos, B. Martini, E. Rojas, F. L. Verdi, Z. Zhu, E. Oki, & H. Parzyjegla (Eds.), 2023 IEEE 9th International Conference on Network Softwarization (NetSoft 2023) : proceedings: Boosting Future Networks through Advanced Softwarization : 19-23 June 2023, Madrid, Spain (pp. 187-191). IEEE. https://doi.org/10.1109/NetSoft57336.2023.10175506 -
Zhang, L., Taal, A., Cushing, R., de Laat, C., & Grosso, P. (2022). A risk-level assessment system based on the STRIDE/DREAD model for digital data marketplaces. International Journal of Information Security, 21(3), 509–525. https://doi.org/10.1007/s10207-021-00566-3 -
Alsayed Kassem, J., de Laat, C., Taal, A., & Grosso, P. (2020). The EPI Framework: A Dynamic Data Sharing Framework for Healthcare Use Cases. IEEE Access, 8, 179909-179920. https://doi.org/10.1109/ACCESS.2020.3028051 -
Zhou, H., Shi, Z., Hu, Y., Donkers, P., Afanasyev, A., Koulouzis, S., Taal, A., Ulisses, A., & Zhao, Z. (2019). Large distributed virtual infrastructure partitioning and provisioning across providers. In 2019 IEEE International Conference on Smart Internet of Things: proceedings : 9-11 August 2019, Tianjin, China : IEEE SmartIoT 2019 (pp. 56-63). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/SmartIoT.2019.00018 -
Taal, A., Wang, J., de Laat, C., & Zhao, Z. (2019). Profiling the scheduling decisions for handling critical paths in deadline-constrained cloud workflows. Future Generation Computer Systems, 100, 237-249. https://doi.org/10.1016/j.future.2019.05.002 -
Taal, A., Makkes, M. X., Kaat, M., & Grosso, P. (2019). A multiple attribute relative quality measure based on the harmonic and arithmetic mean. Operational Research, 19(1), 117–134. https://doi.org/10.1007/s12351-016-0282-5 -
Zhou, H., Taal, A., Koulouzis, S., Wang, J., Hu, Y., Suciu, G., Poenaru, V., de Laat, C., & Zhao, Z. (2018). Dynamic Real-Time Infrastructure Planning and Deployment for Disaster Early Warning Systems. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : proceedings (Vol. 2, pp. 644-654). (Lecture Notes in Computer Science; Vol. 10861). Springer. https://doi.org/10.1007/978-3-319-93701-4_51
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Wang, J., Taal, A., Martin, P., Hu, Y., Zhou, H., Pang, J., de Laat, C., & Zhao, Z. (2017). Planning virtual infrastructures for time critical applications with multiple deadline constraints. Future Generation Computer Systems, 75, 365-375. https://doi.org/10.1016/j.future.2017.02.001
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Hu, Y., Wang, J., Zhou, H., Martin, P., Taal, A., de Laat, C., & Zhao, Z. (2017). Deadline-Aware Deployment for Time Critical Applications in Clouds. In F. F. Rivera, T. F. Pena, & J. C. Cabaleiro (Eds.), Euro-Par 2017: Parallel Processing: 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28-September 1, 2017 : proceedings (pp. 345-357). ( Lecture Notes in Computer Science; Vol. 10417), (Advanced Research in Computing and Software Science). Springer. https://doi.org/10.1007/978-3-319-64203-1_25
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Elzinga, O., Koulouzis, S., Taal, A., Wang, J., Hu, Y., Zhou, H., Martin, P., de Laat, C., & Zhao, Z. (2017). Automatic collector for dynamic cloud performance Information. In 2017 IEEE International Conference on Networking, Architecture, and Storage (NAS): proceedings : 7-9 August 2017, Shenzhen, China (pp. 226-231). IEEE. https://doi.org/10.1109/NAS.2017.8026845
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