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  1. 1
    Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing

    Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing by Iosup, A, Ostermann, S, Yigitbasi, M N, Prodan, R, Fahringer, T, Epema, D H J

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  2. 2
    Bi-Criteria Scheduling of Scientific Grid Workflows

    Bi-Criteria Scheduling of Scientific Grid Workflows by Prodan, R., Wieczorek, M.

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  3. 3
    Overhead Analysis of Scientific Workflows in Grid Environments

    Overhead Analysis of Scientific Workflows in Grid Environments by Prodan, R., Fahringer, T.

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  4. 4
    Experiences with distributed computing for meteorological applications: grid computing and cloud computing

    Experiences with distributed computing for meteorological applications: grid computing and cloud computing by Oesterle, F, Ostermann, S, Prodan, R, Mayr, G J

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  5. 5
    A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments

    A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments by Fard, H. M., Prodan, R., Fahringer, T.

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  6. 6
    A workflow runtime environment for manycore parallel architectures

    A workflow runtime environment for manycore parallel architectures by Janetschek, M., Prodan, R., Benedict, S.

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  7. 7
    Effects of membrane surface chemistry on fouling investigated using self-assembled monolayers

    Effects of membrane surface chemistry on fouling investigated using self-assembled monolayers by Ho, Chia-Chi, Prodan, Bjorg N.R., Kiessling, Brian, Co, Carlos C.

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  8. 8
    ASKALON: A Grid Application Development and Computing Environment

    ASKALON: A Grid Application Development and Computing Environment by Fahringer, T., Prodan, R., Duan, Rubing, Nerieri, F., Podlipnig, S., Qin, Jun, Siddiqui, M., Truong, Hong-Linh, Villazon, A., Wieczorek, M.

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  9. 9
    Meeting Soft Deadlines in Scientific Workflows Using Resubmission Impact

    Meeting Soft Deadlines in Scientific Workflows Using Resubmission Impact by Plankensteiner, K., Prodan, R.

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  10. 10
    Dynamic Resource Provisioning in Massively Multiplayer Online Games

    Dynamic Resource Provisioning in Massively Multiplayer Online Games by Nae, V, Iosup, A, Prodan, R

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  11. 11
    A survey and taxonomy of infrastructure as a service and web hosting cloud providers

    A survey and taxonomy of infrastructure as a service and web hosting cloud providers by Prodan, R., Ostermann, S.

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  12. 12
    Evaluating High-Performance Computing on Google App Engine

    Evaluating High-Performance Computing on Google App Engine by Prodan, R., Sperk, M., Ostermann, S.

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  13. 13
    ASKALON: a tool set for cluster and Grid computing

    ASKALON: a tool set for cluster and Grid computing by Fahringer, Thomas, Jugravu, Alexandru, Pllana, Sabri, Prodan, Radu, Seragiotto Jr, Clovis, Truong, Hong-Linh

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  14. 14
    Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview

    Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview by Roman, Dumitru, Nikolov, Nikolay, Soylu, Ahmet, Elvesaeter, Brian, Song, Hui, Prodan, Radu, Kimovski, Dragi, Marrella, Andrea, Leotta, Francesco, Matskin, Mihhail, Ledakis, Giannis, Theodosiou, Konstantinos, Simonet-Boulogne, Anthony, Perales, Fernando, Kharlamov, Evgeny, Ulisses, Alexandre, Solberg, Arnor, Ceccarelli, Raffaele

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  15. 15
    ZENTURIO: an experiment management system for cluster and Grid computing

    ZENTURIO: an experiment management system for cluster and Grid computing by Prodan, R., Fahringer, T.

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  16. 16
    Multi-objective Workflow Scheduling: An Analysis of the Energy Efficiency and Makespan Tradeoff

    Multi-objective Workflow Scheduling: An Analysis of the Energy Efficiency and Makespan Tradeoff by Durillo, J. J., Nae, V., Prodan, R.

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  17. 17
    From Web services to OGSA: experiences in implementing an OGSA-based grid application

    From Web services to OGSA: experiences in implementing an OGSA-based grid application by Prodan, R., Fahringer, T.

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  18. 18
    Extending Grids with cloud resource management for scientific computing

    Extending Grids with cloud resource management for scientific computing by Ostermann, S., Prodan, R., Fahringer, T.

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  19. 19
    Performance Analysis and Benchmarking of the Intel SCC

    Performance Analysis and Benchmarking of the Intel SCC by Gschwandtner, P., Fahringer, T., Prodan, R.

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  20. 20
    OpenSwarm: An event-driven embedded operating system for miniature robots

    OpenSwarm: An event-driven embedded operating system for miniature robots by Trenkwalder, Stefan M., Kaszubowski Lopes, Yuri, Kolling, Andreas, Christensen, Anders Lyhne, Prodan, Radu, Gross, Roderich

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