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Results: 32
Number of items: 32
  • Zhao, Z., Liao, X., Martin, P., Maduro, J., Thijsse, P., Schaap, D., Stocker, M., Goldfarb, D., & Magagna, B. (2019). Knowledge-as-a-Service: a community knowledge base for research infrastructures in environmental and earth sciences. In Proceedings 2019 IEEE World Congress on Services: IEEE SERVICES 2019 : 8-13 July 2019, Milan, Italy (pp. 127-132). IEEE Computer Society. https://doi.org/10.1109/SERVICES.2019.00041
  • Open Access
    Martin, P., Remy, L., Theodoridou, M., Jeffery, K., & Zhao, Z. (2019). Mapping heterogeneous research infrastructure metadata into a unified catalogue for use in a generic virtual research environment. Future Generation Computer Systems, 101, 1-13. https://doi.org/10.1016/j.future.2019.05.076
  • Open Access
    Remy, L., Ivanović, D., Theodoridou, M., Kritsotaki, A., Martin, P., Bailo, D., Sbarra, M., Zhao, Z., & Jeffery, K. (2019). Building an Integrated Enhanced Virtual Research Environment Metadata Catalogue. The electronic library, 37(6), 929-951. https://doi.org/10.5281/zenodo.3497055, https://doi.org/10.1108/EL-09-2018-0183
  • Jiang, W., Zhai, Y., Zhuang, Z., Martin, P., Zhao, Z., & Liu, J.-B. (2018). An efficient method of generating deterministic small-world and scale-free graphs for simulating real-world networks. IEEE Access, 6, 59833-59842. https://doi.org/10.1109/ACCESS.2018.2875928
  • Open Access
    Jiang, W., Zhai, Y., Zhuang, Z., Martin, P., Zhao, Z., & Liu, J.-B. (2018). Vertex Labeling and Routing for Farey-Type Symmetrically-Structured Graphs. Symmetry, 10(9), Article 407. https://doi.org/10.3390/sym10090407
  • Open Access
    Jiang, W., Zhai, Y., Martin, P., & Zhao, Z. (2018). Structure Properties of Generalized Farey graphs based on Dynamical Systems for Networks. Scientific Reports, 8, Article 12194. https://doi.org/10.1038/s41598-018-30712-2
  • 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
  • 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
  • Martin, P., Chen, Y., Hardisty, A., Jeffery, K., & Zhao, Z. (2017). Computational Challenges in Global Environmental Research Infrastructures. In A. Chabbi, & H. W. Loescher (Eds.), Terrestrial Ecosystem Research Infrastructures: Challenges and Opportunities (pp. 305-340). CRC Press. https://doi.org/10.1201/9781315368252
  • Liew, C. S., Atkinson, M. P., Galea, M., Ang, T. F., Martin, P., & van Hemert, J. I. (2017). Scientific Workflows: Moving Across Paradigms. ACM Computing Surveys, 49(4), Article 66. https://doi.org/10.1145/3012429
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