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Results: 13
Number of items: 13
  • Open Access
    Koulouzis, S., Martin, P., Zhou, H., Hu, Y., Wang, J., Carval, T., Grenier, B., Heikkinen, J., de Laat, C., & Zhao, Z. (2020). Time-critical data management in clouds: challenges and a Dynamic Real-time Infrastructure Planner (DRIP) solution. Concurrency and Computation: Practice and Experience, 32(16), Article e5269. https://doi.org/10.1002/cpe.5269
  • Open Access
    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
  • Zhou, H., Koulouzis, S., Hu, Y., Wang, J., Ulisses, A., de Laat, C., & Zhao, Z. (2018). Migrating live streaming applications onto clouds: challenges and a CloudStorm solution. In A. Sill, & J. Spillner (Eds.), 11th IEEE/ACM International Conference on Utility and Cloud Computing companion: UCC-C 2018 : proceedings : 17-20 December 2018, Zurich, Switzerland (pp. 321-326). IEEE Computer Society. https://doi.org/10.1109/UCC-Companion.2018.00075
  • 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
  • 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
  • Wang, J., Zhou, H., Hu, Y., de Laat, C., & Zhao, Z. (2017). Deadline-Aware Coflow Scheduling in a DAG. In 2017 IEEE 9th International Conference on Cloud Computing Technology and Science: CloudCom 2017 : proceedings : 11-14 December 2017, Hong Kong, Hong Kong (pp. 341-346). IEEE Computer Society. https://doi.org/10.1109/CloudCom.2017.55
  • Wang, J., de Laat, C., & Zhao, Z. (2017). QoS-aware virtual SDN network planning. In P. Chemouil, E. Monteiro, M. Charalambides, E. Madeira, P. Simões, S. Secci, L. Paschoal Gaspary, & C. R. P. dos Santos (Eds.), Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network Management: May 8-12, 2017, Lisbon, Portugal (pp. 644-647). IEEE. https://doi.org/10.23919/INM.2017.7987350
  • 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
  • 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
  • Zhou, H., Hu, Y., Wang, J., Martin, P., de Laat, C., & Zhao, Z. (2016). Fast and Dynamic Resource Provisioning for Quality Critical Cloud Applications. In 2016 IEEE 19th International Symposium on Real-Time Distributed Computing : proceedings: ISORC 2016 : 17-20 May 2016, York, United Kingdom (pp. 92-99). IEEE Computer Society. https://doi.org/10.1109/ISORC.2016.22
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