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All issues Volume 7 (2016) E3S Web Conf., 7 (2016) 14008 References
Open Access
Issue
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 14008
Number of page(s) 10
Section Management and maintenance of infrastructure
DOI https://doi.org/10.1051/e3sconf/20160714008
Published online 20 October 2016
  1. Krzhizhanovskaya V.V., Shirshov G.S., Melnikova N.B., Belleman R.G., Rusadi F.I., Broekhuijsen B.J., Gouldby B.P., Lhomme J., Balis B., Bubak M., Pyayt A.L., Mokhov I.I., Ozhigin A.V., Lang B., and Meijer R.J. (2011). Flood early warning system: design, implementation and computational modules. Procedia Computer Science, Proceedings of the International Conference on Computational Science, ICCS 2011, Vol. 4, pp. 106–115. [Google Scholar]
  2. Brzoza-Woch R., Konieczny M., Kwolek B., Nawrocki P., Szydło T. and Zielinski K. (2015). Holistic Approach to Urgent Computing for Flood Decision Support. Procedia Computer Science, Vol. 51, pp. 2387–2396. [CrossRef] [Google Scholar]
  3. Balis B., Kasztelnik M., Malawski M., Nowakowski P., Wilk B., Pawlik M. and Bubak M. (2015). Execution management and efficient resource provisioning for flood decision support. Procedia Computer Science, Vol. 51, pp. 2377–2386. [CrossRef] [Google Scholar]
  4. Leong S. H. and Kranzlmüller D. (2015). Towards a General Definition of Urgent Computing. Procedia Computer Science, Vol. 51, pp. 2337–2346. [CrossRef] [Google Scholar]
  5. Droegemeier K. K., Clark V. Ch, R., Gannon D., Graves S., Ramamurthy M., Wilhelmson R., Brewster K., Domenico B., Leyton T., Weber D., Wilson A., Xue M., and Yalda S. (2004). Linked environments for atmospheric discovery (lead): A cyberinfrastructure for mesoscale meteorology research and education. 20th Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Bulletin of the American Meteorological Society, pp. 901–911. [Google Scholar]
  6. Cui Y., Moore R., Olsen K., Chourasia A., Maechling P., Minster B., Day S., Hu Y., Zhu J., Majumdar A. and Jordan T. (2007). Enabling verylarge scale earthquake simulations on parallel machines. Computational Science - ICCS 2007, Lecture Notes in Computer Science, Springer Berlin Heidelberg, Vol. 4487, pp. 46–53. [Google Scholar]
  7. Bogden P. S., Gale T., Allen G., MacLaren J., Almes G., Creager G., Bintz J., Wright L. D., Graber H., Williams N., Graves S., Conover H., Galluppi K., Luettich R., Perrie W., Toulany B., Sheng Y.P., Davis J.R., Wang H. and Forrest D. (2007). Architecture of a community infrastructure for predicting and analyzing coastal inundation. Marine Technology Society Journal, 41(1), pp. 53–71. [CrossRef] [Google Scholar]
  8. Mandel J., Beezley J. D., Bennethum L. S., Chakraborty S., Coen J. L., Douglas C. C., Hatcher J., Kim M. and Vodacek A. (2007). A dynamic data driven wildland fire model. Computational Science - ICCS 2007, Lecture Notes in Computer Science, Springer Berlin Heidelberg, Vol. 4487, pp. 1042–1049. [Google Scholar]
  9. Leong S. H., Frank A. and Kranzlmueller D. (2013). Leveraging e-infrastructures for urgent computing, Procedia Computer Science, Vol. 18, pp. 2177–2186. [CrossRef] [Google Scholar]
  10. Tolosana-Calasanz R., Banares J., Rana O., Pham C., Xydas E., Marmaras C., Papadopoulos P. and Cipcigan L. (2014). Enforcing quality of service on opennebula-based shared clouds. 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp. 651–659. [Google Scholar]
  11. Cope J. and Tufo H. (2008). Supporting storage resources in urgent computing environments. IEEE International Conference on Cluster Computing, pp. 348–353. [Google Scholar]
  12. Beckman P., Nadella S., Trebon N. and Beschastnikh I. (2007). Spruce: A system for supporting urgent high-performance computing. Grid-Based Problem Solving Environments, IFIP, Vol. 239, pp. 295–311. [CrossRef] [Google Scholar]
  13. Balis B., Kasztelnik M., Bubak M., Bartynski T., Gubała T., Nowakowski P. and Broekhuijsen J. (2011). The UrbanFlood Common Information Space for Early Warning Systems. Procedia Computer Science, Vol. 4, pp. 96–105. [CrossRef] [Google Scholar]
  14. Balis B., Bartynski T., Bubak M., Dyk G., Gubala T. and Kasztelnik M. (2013). A Development and Execution Environment for Early Warning Systems for Natural Disasters. 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp. 575–582. [Google Scholar]
  15. Knyazkov K. V., Kovalchuk S. V., Tchurov T. N., Maryin S. V. and Boukhanovsky A. V. (2012). Clavire: e-science infrastructure for data-driven computing. Journal of Computational Science, 3(6), pp. 504–510. [CrossRef] [Google Scholar]
  16. Cope J., Trebon N., Tufo H. and Beckman P. (2009). Robust data placement in urgent computing environments. IEEE International Symposium on Parallel Distributed Processing (IPDPS), pp. 1–13. [Google Scholar]
  17. Pieta A., Lupa M., Chuchro M., Piorkowski A. and Lesniak A. (2014). A model of a system for stream data storage and analysis dedicated to sensor networks of embankment monitoring. Computer Information Systems and Industrial Management, Lecture Notes in Computer Science, Springer Berlin Heidelberg, Vol. 8838, pp. 514–525. [Google Scholar]
  18. Kosinski J., Nawrocki P., Radziszowski D., Zielinski K., Zielinski S., Przybylski G. and Wnek P. (2008). SLA monitoring and management framework for telecommunication services. 30 Fourth International Conference on Networking and Services (ICNS), pp. 170–175. [Google Scholar]
  19. Levins R. and Lewontin R. (1985). The Dialectical Biologist, Harvard University Press. [Google Scholar]
  20. Varela F. J. (1978). On being autonomous: The lessons of natural history for systems theory. Klir G. J. (Ed.), Applied General Systems Research, NATO Conference Series, Springer, Vol. 5, pp. 77–84. [CrossRef] [Google Scholar]
  21. Harrison C., Eckman B., Hamilton R., Hartswick P., Kalagnanam J., Paraszczak J. and Williams P. (2010). Foundations for smarter cities. IBM Journal of Research and Development, 54(4), pp. 1–16. [Google Scholar]
  22. Software-defined networking: The new norm for networks (2012). Tech. rep., Open Networking Foundation, https://www.opennetworking.org. [Google Scholar]
  23. Brzoza-Woch R. and Nawrocki P. (2016). FPGAbased web services – infinite potential or a road to nowhere? IEEE Internet Computing, 20(1), pp. 44–51. [CrossRef] [Google Scholar]
  24. Bachara P., Brzoza-Woch R., Długopolski J., Nawrocki P., Ruta A., Zaborowski W. and Zielinski K. (2015). Construction of hardware components for the Internet of Services. Computing and Informatics, 34(4), pp. 911–940. [Google Scholar]
  25. Szydlo T., Nawrocki P., Brzoza-Woch R. and Zielinski K. (2014). Power aware MOM for telemetry-oriented applications using GPRS-enabled embedded devices – levee monitoring use case. IEEE Federated Conference on Computer Science and Information Systems, Annals of Computer Science and Information Systems, Vol. 2, pp. 1059–1064. [Google Scholar]
  26. Saaty T.L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), pp. 9–26,. [CrossRef] [Google Scholar]

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