Search results
Results: 229
Number of items: 229
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Mork, R., Martin, P., & Zhao, Z. (2015). Contemporary Challenges for Data-intensive Scientific Workflow Management Systems. In Proceedings of WORKS 2015: the 10th Workshop on Workflows in Support of Large-Scale Science : November 15, 2015 Article 4 The Association for Computing Machinery. https://doi.org/10.1145/2822332.2822336
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Evans, K., Jones, A., Preece, A., Quevedo, F., Rogers, D., Spasić, I., Taylor, I., Stankovski, V., Taherizadeh, S., Trnkoczy, J., Suciu, G., Suciu, V., Martin, P., Wang, J., & Zhao, Z. (2015). Dynamically Reconfigurable Workflows for Time-Critical Applications. In Proceedings of WORKS 2015: the 10th Workshop on Workflows in Support of Large-Scale Science : November 15, 2015 Article 7 The Association for Computing Machinery. https://doi.org/10.1145/2822332.2822339
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Zhao, Z., Taal, A., Jones, A., Taylor, I., Stankovski, V., Hidalgo, F. J., Suciu, G., Ulisses, A., Ferreira, P., & de Laat, C. (2015). A Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications (SWITCH). In 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud and Grid Computing : CCGrid 2015: proceedings : 4-7 May 2015, Shenzhen, China (pp. 1181-1184). IEEE Computer Society. https://doi.org/10.1109/CCGrid.2015.73
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Jeferry, K., Kousiouris, G., Kyriazis, D., Altmann, J., Ciuffoletti, A., Maglogiannis, I., Nesi, P., Suzic, B., & Zhao, Z. (2015). Challenges emerging from future cloud application scenarios. Procedia Computer Science, 68, 227-237. https://doi.org/10.1016/j.procs.2015.09.238 -
Zhao, Z., Martin, P., Wang, J., Taal, A., Jones, A., Taylor, I., Stankovski, V., Garcia Vega, I., Suciu, G., Ulisses, A., & de Laat, C. (2015). Developing and operating time critical applications in clouds: the state of the art and the SWITCH approach. Procedia Computer Science, 68, 17-28. https://doi.org/10.1016/j.procs.2015.09.220 -
Zhu, H., van der Veldt, K., Zhao, Z., Grosso, P., Pavlov, D., Soeurt, J., Liao, X., & de Laat, C. (2015). A semantic enhanced Power Budget Calculator for distributed computing using IEEE 802.3az. Cluster Computing, 18(1), 61-77. https://doi.org/10.1007/s10586-014-0395-7 -
Martin, P., Grosso, P., Magagna, B., Schentz, H., Chen, Y., Hardisty, A., Los, W., Jeffery, K., de Laat, C., & Zhao, Z. (2015). Open Information Linking for Environmental Research Infrastructures. In Proceedings, 11th IEEE International Conference on eScience: 31 August-4 September 2015, Munich, Germany (pp. 513-520). IEEE Computer Society. https://doi.org/10.1109/eScience.2015.66 -
Zhao, Z., Martin, P., Grosso, P., Los, W., de Laat, C., Jeffrey, K., Hardisty, A., Vermeulen, A., Castelli, D., Legré, Y., & Kutsch, W. (2015). Reference Model Guided System Design and Implementation for Interoperable Environmental Research Infrastructures. In Proceedings, 11th IEEE International Conference on eScience: 31 August-4 September 2015, Munich, Germany (pp. 551-556). IEEE Computer Society. https://doi.org/10.1109/eScience.2015.41 -
Belloum, A. S. Z., Cushing, R., Koulouzis, S., Korkhov, V., Vasunin, D., Guevara-Masis, V., Zhao, Z., & Bubak, M. (2013). Support for Cooperative Experiments in e-Science: From Scientific Workflows to Knowledge Sharing. In I. Roterman-Konieczna (Ed.), Identification of ligand binding site and protein-protein interaction area (pp. 135-159). (Focus on structural biology; Vol. 8). Springer. https://doi.org/10.1007/978-94-007-5285-6_7
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Jiang, W., Zhao, Z., & de Laat, C. (2013). An Autonomous Security Storage Solution for Data-Intensive Cooperative Cloud Computing. In Proceedings IEEE Ninth International Conference on e-Science: e-Science 2013 : 22-25 October 2013, Beijing, China (pp. 369-372). IEEE Computer Society. https://doi.org/10.1109/eScience.2013.31
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