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Results: 232
Number of items: 232
  • 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
  • Taherizadeh, S., Taylor, I., Jones, A., Zhao, Z., & Stankovski, V. (2017). A Network Edge Monitoring Approach for Real-Time Data Streaming Applications. In J. Á. Bañares , K. Tserpes, & J. Altmann (Eds.), Economics of Grids, Clouds, Systems, and Services: 13th International Conference, GECON 2016, Revised Selected Papers (pp. 293-303). (Lecture Notes in Computer Science; Vol. 10382). Springer. https://doi.org/10.1007/978-3-319-61920-0_21
  • 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
  • Martin, P., Taal, A., Quevedo, F., Rogers, D., Evans, K., Jones, A., Stankovski, V., Taherizadeh, S., Trnkoczy, J., Suciu, G., & Zhao, Z. (2016). Information modelling and semantic linking for a software workbench for interactive, time critical and self-adaptive cloud applications. In L. Barolli, M. Takizawa, T. Enokido, A. J. Jara, & Y. Bocchi (Eds.), Proceedings IEEE 30th International Conference on Advanced Information Networking and Applications Workshops: WAINA 2016 : 23-25 March 2016, Crans-Montana, Switzerland (pp. 127-132). IEEE Computer Society. https://doi.org/10.1109/WAINA.2016.38
  • Zhou, H., Wang, J., Hu, Y., Su, J., Martin, P., de Laat, C., & Zhao, Z. (2016). Fast Resource Co-provisioning for Time Critical Application Based on Networked Infrastructures. In I. Foster, & N. Radia (Eds.), Proceedings, 2016 IEEE 9th International Conference on Cloud Computing: CLOUD 2016 : 27 June-2 July 2016, San Francisco, California, USA (pp. 802-805). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/CLOUD.2016.0111
  • Koulouzis, S., Belloum, A. S. Z., Bubak, M. T., Zhao, Z., Živković, M., & de Laat, C. T. A. M. (2016). SDN-aware federation of distributed data. Future Generation Computer Systems, 56, 64-76. https://doi.org/10.1016/j.future.2015.09.032
  • Open Access
    Zhou, H., Martin, P., Su, J., de Laat, C., & Zhao, Z. (2016). A Flexible Inter-locale Virtual Cloud For Nearly Real-time Big Data Applications. Paper presented at International workshop on Interoperable infrastructures for interdisciplinary big data sciences, Porto, Portugal. https://doi.org/10.5281/zenodo.204774
  • Open Access
    Zhao, Z., Martin, P., de Laat, C., Jeffery, K., Jones, A., Taylor, I., Hardisty, A., Atkinson, M., Zuiderwijk-van Eijk, A., Yin, Y., & Chen, Y. (2016). Time critical requirements and technical considerations for advanced support environments for data-intensive research. Paper presented at International workshop on Interoperable infrastructures for interdisciplinary big data sciences, Porto, Portugal. https://doi.org/10.5281/zenodo.204756
  • 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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