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Dr. S. (Spiros) Koulouzis

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute

  • Science Park 904
  • Postbus 94323
    1090 GH Amsterdam
  • Publicaties


    • La Marra, M., Blanson Henkemans, D., Titocci, J., Koulouzis, S., Rosati, I., & Zhao, Z. (2023). Integrating R in a distributed scientific workflow via a Jupyter-based Environment. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 481-482). Article 70 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254945 [details]
    • Launet, L., Wang, Y., Colomer, A., Igual, J., Pulgarín-Ospina, C., Koulouzis, S., Bianchi, R., Mosquera-Zamudio, A., Monteagudo, C., Naranjo, V., & Zhao, Z. (2023). Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions. Applied Sciences, 13(2), Article 919. https://doi.org/10.3390/app13020919 [details]
    • Wang, Y., Janse, N., Bianchi, R., Koulouzis, S., & Zhao, Z. (2023). Towards a Service-based Adaptable Data Layer for Cloud Workflows. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, A. K. M. J. A. Majumder, H. Kashiwazaki, J.-J. Yang, M. Takemoto, N. Sakib, R. Banno, & S. I. Ahamed (Eds.), 2023 IEEE 47th Annual Computers, Software, and Applications Conference: 27-29 June 2023, Torino, Italy : proceedings (pp. 904-911). (COMPSAC; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/COMPSAC57700.2023.00121 [details]


    • Koulouzis, S., Bianchi, R., van der Linde, R., Wang, Y., & Zhao, Z. (2022). SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning. In R. Chaves, D. B. Heras, A. Ilic, & D. Unat (Eds.), Euro-Par 2021: Parallel Processing Workshops: Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021 : revised selected papers (pp. 405-416). (Lecture Notes in Computer Science; Vol. 13098). Springer. https://doi.org/10.1007/978-3-031-06156-1_32 [details]
    • Li, N., Farshidi, S., Bianchi, R., Koulouzis, S., & Zhao, Z. (2022). Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment. In eScience '22 : Democratizing science : 2022 IEEE 18th International Conference on e-Science: proceedings : eScience 2022 : Salt Lake City, Utah, USA, 10-14 October 202 (pp. 393-394). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/eScience55777.2022.00054 [details]
    • Wang, Y., Koulouzis, S., Bianchi, R., Li, N., Shi, Y., Timmermans, J., Kissling, W. D., & Zhao, Z. (2022). Scaling Notebooks as Re-configurable Cloud Workflows. Data Intelligence, 4(2), 409-425. https://doi.org/10.1162/dint_a_00140 [details]
    • Zhao, Z., Koulouzis, S., Bianchi, R., Farshidi, S., Shi, Z., Xin, R., Wang, Y., Li, N., Shi, Y., Timmermans, J., & Kissling, W. D. (2022). Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment. Software - Practice and Experience, 52(9), 1947-1966. https://doi.org/10.1002/spe.3098 [details]


    • Saurabh, N., Rubia, C., Palanisamy, A., Koulouzis, S., Sefidanoski, M., Chakravorty, A., Zhao, Z., Karadimce, A., & Prodan, R. (2021). The ARTICONF approach to decentralized car-sharing. Blockchain: Research and Applications, 2(3), Article 100013. Advance online publication. https://doi.org/10.1016/j.bcra.2021.100013 [details]


    • Koulouzis, S., Carval, T., Heikkinen, J., Pursula, A., & Zhao, Z. (2020). Case Study: Data Subscriptions Using Elastic Cloud Services. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 293-306). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_16 [details]
    • Koulouzis, S., Martin, P., & Zhao, Z. (2020). Virtual Infrastructure Optimisation. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 192-207). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_11 [details]
    • 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. Advance online publication. https://doi.org/10.1002/cpe.5269 [details]
    • Magagna, B., Goldfarb, D., Martin, P., Atkinson, M., Koulouzis, S., & Zhao, Z. (2020). Data Provenance. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 208-225). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_12 [details]
    • Shi, Z., Zhou, H., Koulouzis, S., Rubia, C., & Zhao, Z. (2020). Co-located and Orchestrated Network Fabric (CONF): An Automated Cloud Virtual Infrastructure for Social Network Applications. In U. Schwardmann, C. Boehme, & D. B. Heras (Eds.), Euro-Par 2019: Parallel Processing Workshops: Euro-Par 2019 International Workshops, Göttingen, Germany, August 26–30, 2019 : revised selected papers (pp. 464-475). (Lecture Notes in Computer Science; Vol. 11997). Springer. https://doi.org/10.1007/978-3-030-48340-1_36 [details]


    • Belloum, A. S. Z., Koulouzis, S., Wiktorski, T., & Manieri, A. (2019). Bridging the demand and the offer in data science. Concurrency and Computation: Practice and Experience, 31(17), Article e5200. https://doi.org/10.1002/cpe.5200 [details]
    • Demchenko, Y., Zhao, Z., Surbiryala, J., Koulouzis, S., Shi, Z., Liao, X., & Gordiyenko, J. (2019). Teaching DevOps and Cloud based Software Engineering in University Curricula. In IEEE 15th International Conference on eScience: proceedings : 24-27 September 2019, San Diego, California (pp. 548-552). IEEE Computer Society. https://doi.org/10.1109/eScience.2019.00075 [details]
    • El Khaldi Ahanach, E., Koulouzis, S., & Zhao, Z. (2019). Contextual linking between workflow provenance and system performance logs. In IEEE 15th International Conference on eScience: proceedings : 24-27 September 2019, San Diego, California (pp. 634-635). IEEE Computer Society. https://doi.org/10.1109/eScience.2019.00093 [details]
    • 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 [details]
    • Štefanič, P., Cigale, M., Jones, A. C., Knight, L., Taylor, I., Istrate, C., Suciu, G., Ulisses, A., Stankovski, V., Taherizadeh, S., Flores Salado, G., Koulouzis, S., Martin, P., & Zhao, Z. (2019). SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications. Future Generation Computer Systems, 99, 197-212. Advance online publication. https://doi.org/10.1016/j.future.2019.04.008 [details]


    • Koulouzis, S., Mousa, R., Karakannas, A., Laat, C. D., & Zhao, Z. (2018). Information Centric Networking for Sharing and Accessing Digital Objects with Persistent Identifiers on Data Infrastructures. In 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing: proceedings : 1-4 May 2018, Washington, DC (pp. 661-668). IEEE Computer Society. https://doi.org/10.1109/CCGRID.2018.00098 [details]
    • 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 [details]
    • 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 [details]


    • 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. Advance online publication. https://doi.org/10.1016/j.future.2015.09.032 [details]
    • Koulouzis, S., Belloum, A., Bubak, M., Lamata, P., Nolte, D., Vasyunin, D., & de Laat, C. (2016). Distributed Data Management Service for VPH Applications. IEEE Internet Computing, 20(2), 34-41. Advance online publication. https://doi.org/10.1109/MIC.2015.71 [details]


    • Cushing, R., Koulouzis, S., Belloum, A., & Bubak, M. (2014). Applying workflow as a service paradigm to application farming. Concurrency and Computation: Practice and Experience, 26(6), 1297-1312. Advance online publication. https://doi.org/10.1002/cpe.3073 [details]
    • Koulouzis, S., Vasyunin, D., Cushing, R., Belloum, A., & Bubak, M. (2014). Cloud Data Storage Federation for Scientific Applications. In D. an Mey, M. Alexander, P. Bientinesi, M. Cannataro, C. Clauss, A. Costan, G. Kecskemeti, C. Morin, L. Ricci, J. Sahuquillo, M. Schulz, V. Scarano, S. L. Scott, & J. Weidendorfer (Eds.), Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013 : revised selected papers (pp. 13-22). (Lecture Notes in Computer Science; Vol. 8374). Springer. https://doi.org/10.1007/978-3-642-54420-0_2 [details]


    • Cushing, R., Koulouzis, S., Strijkers, R., Belloum, A. S. Z., & Bubak, M. (2012). Service Level Management for executable papers. In M. Alexander, P. D' Ambra, A. Belloum, G. Bosilca, M. Cannataro, M. Danelutto, B. Di Martino, M. Gerndt, E. Jeannot, R. Namyst, J. Roman, S. L. Scott, J. Larsson Traff, G. Vallée, & J. Weidendorfer (Eds.), Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC: Bordeaux, France, August 29-September 2, 2011: revised selected papers (Vol. 2, pp. 116-123). (Lecture Notes in Computer Science; Vol. 7156). Springer. https://doi.org/10.1007/978-3-642-29740-3_14 [details]


    • Cushing, R., Koulouzis, S., Belloum, A. S. Z., & Bubak, M. (2011). Prediction-based auto-scaling of scientific workflows. In B. Schulze, O. Rana, & E. Madeira (Eds.), Proceedings of the 9th International Workshop on Middleware for Grids, Clouds and e-Science: MGC 2011, co-located with ACM/IFIP/USENIX 12th International Middleware Conference, December 12-16, 2011, Lisbon, Portugal (pp. 1). ACM. https://doi.org/10.1145/2089002.2089003 [details]
    • Cushing, R., Koulouzis, S., Belloum, A., & Bubak, M. (2011). Dynamic handling for cooperating scientific web services. In Proceedings 2011 IEEE Seventh International Conference on eScience: 5-8 December 2011, Stockholm, Sweden (pp. 232-239). IEEE. https://doi.org/10.1109/eScience.2011.40 [details]



    • Zhou, H., Hu, Y., Ouyang, X., Su, J., Koulouzis, S., de Laat, C., & Zhao, Z. (2019). CloudsStorm: A framework for seamlessly programming and controlling virtual infrastructure functions during the DevOps lifecycle of cloud applications. Software, practice & experience, 49(10), 1421-1447. Advance online publication. https://doi.org/10.1002/spe.2741 [details]


    • 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 [details]


    • van Eijk, N. (Author), Roessler, B. (Author), Zuiderveen Borgesius, F. (Author), Oostveen, M. (Author), et al., U. (Author), van Son, R. (Author), Verkade, F. (Author), Vliek, M. (Author), Alberdingk Thijm, C. (Author), Apt, K. (Author), Böhler, B. (Author), den Boon, A. (Author), Breemen, K. (Author), Breemen, V. (Author), de Goede, M. (Author), van Gompel, S. (Author), Guibault, L. (Author), Helberger, N. (Author), Hins, A. W. (Author), ... Taylor, L. (Author). (2014). Academics Against Mass Surveillance. Web publication or website http://www.academicsagainstsurveillance.org/ [details]


    • 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 [details]


    • Koulouzis, S., Cushing, R., Karasavvas, K. A., Belloum, A., & Bubak, M. (2012). Enabling web services to consume and produce large datasets. IEEE Internet Computing, 16(1), 52-60. https://doi.org/10.1109/MIC.2011.138 [details]


    • Koulouzis, S., Carval, T., Martin, P., Grenier, B., Chen, Y., Heikkinen, J., & Zhao, Z. (2018). Dynamic Optimization for Time-critical Data Services: A Case Study in Euro-Argo Research Infrastructure. 16012. Abstract from EGU (European Geosciences Union) General Assembly 2018, Austria.


    • Koulouzis, S., Martin, P. W., Carval, T., Grenier, B., Judeau, G., Wang, J., Zhou, H., de Laat, C. T. A. M., & Zhao, Z. (2017). Seamless Infrastructure Customisation and Performance Optimisation for Time-critical Services in Data Infrastructures. Paper presented at the Eighth International Workshop on Data-Intensive Computing in the Clouds, in the context of Supercomputing, Denver, United States.


    • Koulouzis, S., Vasunin, D., Belloum, A., & Bubak, M. (2014). Data Storage Federation for VPH Applications. Paper presented at VPH2014: Virtual Physiological Human Conference 2014. [details]


    • Koulouzis, S., Cushing, R. S., Belloum, A. S. Z., & Bubak, M. T. (2012). Cloud Federation for Sharing Scientific Data. Poster session presented at eScience, .


    • Koulouzis, S., Meij, E. J., Marshall, M. S., & Belloum, A. S. Z. (2008). Enabling Data Transport between Web Services through alternative protocols and Streaming. 400-401. Poster session presented at eScience, .

    Prijs / subsidie

    • Zhou, H., Shi, Z., Hu, Y., Koulouzis, S., Taal, A. & Zhao, Z. (2019). Best student paper in the IEEE Smart IoT conference 2019.


    • Koulouzis, S. (2016). Methods for federating and transferring data to eScience applications. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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