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A. Sanchez, Perez, M. S., Karasavvas, K., Herrero, P., and Perez, A., MAPFS-DAI, an extension of OGSA-DAI based on a parallel file system, Future Generation Computer Systems, vol. 23, p. 138--145, 2007.
T. Schlemmer, Grunzke, R., Gesing, S., Krüger, J., Birkenheuer, G., Müller-Pfefferkorn, R., and Kohlbacher, O., Generic User Management for Science Gateways via Virtual Organizations, in EGI Technical Forum 2012, 2012.
K. Schneeberger, Hagmann, J., Ossowski, S., Warthmann, N., Gesing, S., Kohlbacher, O., and Weigel, D., Simultaneous alignment of short reads against multiple genomes, Genome Biol, vol. 10, p. R98, 2009.
M. Seify and Bijani, S., A Methodology for Mobile Network Security Risk Management, Sixth International Conference on Information Technology: New Generations (ITNG '09). IEEE Computer Society, 2009.
R. O. Sinnott, Bayer, M., Stell, A. J., and Koetsier, J., Grid Infrastructures for Secure Access to and Use of Bioinformatics Data: Experiences from the BRIDGES Project, in Proceedings of the First International Conference on Availability, Reliability and Security, ARES, Vienna, Austria, 2006, p. 950--957.
R. Sinnott, Atkinson, M., Bayer, M., Berry, D., Dominiczak, A., Ferrier, M., Gilbert, D., Hanlon, N., Houghton, D., Hunt, E., and White, D., Grid Services Supporting the Usage of Secure Federated, Distributed Biomedical Data, All Hands Meeting 2004. Nottingham, UK, 2004.
R. O. Sinnott, Bayer, M., Houghton, D., Berry, D., and Ferrier, M., Development of a Grid Infrastructure for Functional Genomics, Life Science Grid Conference (LSGrid 2004). Springer Verlag, Kanazawa, Japan , 2004.
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.
K. Smith-Miles and {van Hemert}, J. I., Discovering the suitability of optimisation algorithms by learning from evolved instances, Annals of Mathematics and Artificial Intelligence, vol. Online Fir, 2011.
D. Snelling, Platforms for Data-Intensive Analysis, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R. M., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 197-201.
A. Spinuso, Cheney, J., and Atkinson, M., Provenance for seismological processing pipelines in a distributed streaming workflow, in EDBT/ICDT Workshops, 2013.
C. Suo and Han, L., The DWMM network traffic model, Journal of Communication, vol. 24, no. 5, p. 43~48, 2003.

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