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Conference Paper
G. McGilvary, Barker, A., Lloyd, A., and Atkinson, M., V-BOINC: The Virtualization of BOINC, in In Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013)., Delft, The Netherlands, 2013.
G. Wickler, Beckett, G., Han, L., Koo, S. H., Potter, S., Pringle, G., and Tate, A., Using Simulation for Decision Support: Lessons Learned from FireGrid, in Proceedings of the 6th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2009), Gothenburg, Sweden, 2009.
J. Fernández, Han, L., Nuñez, A., Carretero, J., and van Hemert, J., Using architectural simulation models to aid the design of data intensive application, in The Third International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2009), Sliema, Malta, 2009, p. 163--168.
S. Herres-Pawlis, Balaskó, Á., Birkenheuer, G., Brinkmann, A., Gesing, S., Grunzke, R., Hoffmann, A., Kacsuk, P., Krüger, J., Packschies, L., Terstyansky, G., and Weingarten, N., User-friendly workflows in quantum chemistry, in IWSG 2013, Zurich, Switzerland, 2013.
N. Chatzinikolaou and Robertson, D., The Use of Reputation as Noise-resistant Selection Bias in a Co-evolutionary Multi-agent System, in Genetic and Evolutionary Computation Conference, Philadelphia, 2012.
R. Grim, Jansen, M. L. M., Baan, A., van Hemert, J. I., and de Wolf, H., Use of Evolutionary Algorithms for Telescope Scheduling, in Integrated Modeling of Telescopes, 2002, vol. 4757, p. 51--61.
K. Smith-Miles, van Hemert, J., and Lim, X., Understanding TSP Difficulty by Learning from Evolved Instances, in Lecture Notes in Computer Science, 2010, vol. 6073, pp. 266-280.
A. Defaweux, Lenaerts, T., van Hemert, J. I., and Parent, J., Transition Models as an incremental approach for problem solving in Evolutionary Algorithms, in Proceedings of the Genetic and Evolutionary Computation Conference, 2005, p. 599--606.
Y. Chen, Berry, D., and Dantressangle, P., Transaction-Based Grid Database Replication, in UK e-Science Al l Hands Meeting 2007, Nottingham, UK, 2007.
C. S. Liew, Atkinson, M. P., van Hemert, J., and Han, L., Towards Optimising Distributed Data Streaming Graphs using Parallel Streams, in Data Intensive Distributed Computing (DIDC'10), in conjunction with the 19th International Symposium on High Performance Distributed Computing, Chicago, Illinois, 2010, pp. 725-736.
K. Zutis, Trucco, E., Hubschman, J. P., Reed, D., Shah, S., and van Hemert, J., Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams, in Conf Proc IEEE Eng Med Biol Soc, 2013.
M. Carpené, Klampanos, I. A., Leong, S. Hoon, Casarotti, E., Danecek, P., Ferini, G., Gemünd, A., Krause, A., Krischer, L., Magnoni, F., Simon, M., Spinuso, A., Trani, L., Atkinson, M., Erbacci, G., Frank, A., Igel, H., Rietbrock, A., Schwichtenberg, H., and Vilotte, J. - P., Towards Addressing CPU-Intensive Seismological Applications in Europe, in International Supercomputing Conference, Leipzig, Germany, 2013.
L. Han, Asenov, A., Berry, D., Millar, C., Roy, G., Roy, S., Sinnott, R., and Stewart, G., Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics, in 3rd IEEE International Conference on eScience and Grid Computing, Bangalore, India , 2007.
S. Gesing, van Hemert, J., Koetsier, J., Bertsch, A., and Kohlbacher, O., TOPP goes Rapid, in Cluster Computing and the Grid, IEEE International Symposium on, Los Alamitos, CA, USA, 2010, p. 598--599.
S. Newhouse, Schopf, J. M., Richards, A., and Atkinson, M. P., Study of User Priorities for e-Infrastructure for e-Research (SUPER), in Proceedings of the UK e-Science All Hands Meeting, 2007.
J. I. van Hemert and Solnon, C., A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems, in Springer Lecture Notes on Computer Science, 2004, p. 114--123.
J. Eggermont and van Hemert, J. I., Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming, in Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00), 2000, p. 259--266.
A. E. Eiben, van Hemert, J. I., Marchiori, E., and Steenbeek, A. G., Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function, in Springer Lecture Notes on Computer Science, 1998, p. 196--205.
J. Watt, Ajayi, O., Jiang, J., Koetsier, J., and Sinnott, R. O., A Shibboleth-Protected Privilege Management Infrastructure for e-Science Education, in Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006, Singapore, 2006, p. 357--364.
A. Barker and van Hemert, J., Scientific Workflow: A Survey and Research Directions, in Lecture Notes in Computer Science, 2008, vol. 4967, p. 746--753.
S. Gesing, Herres-Pawlis, S., Birkenheuer, G., Brinkmann, A., Grunzke, R., Kacsuk, P., Kohlbacher, O., Kozlovszky, M., Krüger, J., Müller-Pfefferkorn, R., Schäfer, P., and Steinke, T., A Science Gateway Getting Ready for Serving the International Molecular Simulation Community, in Proceedings of Science, 2012.
S. Gesing, Kacsuk, P., Kozlovszky, M., Birkenheuer, G., Blunk, D., Breuers, S., Brinkmann, A., Fels, G., Grunzke, R., Herres-Pawlis, S., Krüger, J., Packschies, L., Müller-Pfefferkorn, R., Schäfer, P., Steinke, T., Fabri, A. Szikszay, Warzecha, K., Wewior, M., and Kohlbacher, O., A Science Gateway for Molecular Simulations, in EGI User Forum 2011, 2011.
M. P. Atkinson, Dmitriev, M., Hamilton, C., and Printezis, T., Scalable and Recoverable Implementation of Object Evolution for the PJama1 Platform, in POS, 2000, pp. 292-314.
A. Nuñez, Filgueira, R., and Merayo, M. G., SANComSim: A Scalable, Adaptive and Non-intrusive Framework to Optimize Performance in Computational Science Applications, in ICCS, 2013.
D. A. Bacigalupo, van Hemert, J., Usmani, A., Dillenberger, D. N., Wills, G. B., and Jarvis, S. A., Resource management of enterprise cloud systems using layered queuing and historical performance models, in IEEE International Symposium on Parallel Distributed Processing, 2010, p. 1--8.

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