Advertisement

Exascale Flood Modelling in Environment Supporting Urgent Computing

  • Martin BobákEmail author
  • Ondrej Habala
  • Ladislav Hluchý
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

The ability to use exascale systems to provide urgent decision making support critically depends on the ability of supercomputing centers to adopt urgent computing as a new use mode. The paper presents the new approach for the complex modelling of floods within a exascale system supporting urgent computing. The main challenges coming from the complex flood modelling are: (1) the extreme size of the data, and (2) the complexity of the structure of the data. To address these challenges, we have chosen four research domains which are the core approaches shaping the Urgent Computing for Exascale Data (U-COMP) platform: (1) composition and orchestration of e-service processes with support of urgent computing, (2) use of semantic web technologies in describing the services and domain components of the processes, (3) interoperability of cloud environments and HPC resources and their compatibility with urgent computing, and (4) scalable and distributed aggregation and analysis of data.

Keywords

Urgent computing Flood modelling Simulations Architecture 

Notes

Acknowledgment

This work is supported by project APVV-17–0619 (U-COMP) “Urgent Computing for Exascale Data”, and project VEGA 2/0167/16 “Methods and algorithms for the semantic processing of Big Data in distributed computing environment”.

References

  1. 1.
    Abu-Libdeh, H., Princehouse, L., Weatherspoon, H.: RACS: a case for cloud storage diversity. In: Proceedings of the 1st ACM Symposium on Cloud Computing, pp. 229–240. ACM (2010)Google Scholar
  2. 2.
    Benet, J.: IPFS-content addressed, versioned, P2P file system. arXiv preprint arXiv:1407.3561 (2014)
  3. 3.
    Bresnahan, J., Link, M., Khanna, G., Imani, Z., Kettimuthu, R., Foster, I.: Globus GridFTP: what’s new in 2007. In: Proceedings of the First International Conference on Networks for Grid Applications, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, p. 19 (2007)Google Scholar
  4. 4.
    Brunette, W., Sundt, M., Dell, N., Chaudhri, R., Breit, N., Borriello, G.: Open data kit 2.0: expanding and refining information services for developing regions. In: Proceedings of the 14th Workshop on Mobile Computing Systems and Applications, p. 10. ACM (2013)Google Scholar
  5. 5.
    Chervenak, A., Foster, I., Kesselman, C., Salisbury, C., Tuecke, S.: The data grid: towards an architecture for the distributed management and analysis of large scientific datasets. J. Netw. Comput. Appl. 23(3), 187–200 (2000)CrossRefGoogle Scholar
  6. 6.
    Dillon, T., Wu, C., Chang, E.: Cloud computing: issues and challenges. In: 2010 24th IEEE International conference on Advanced Information Networking and Applications, pp. 27–33. IEEE (2010)Google Scholar
  7. 7.
    Dutka, Ł., Słota, R., Wrzeszcz, M., Król, D., Kitowski, J.: Uniform and efficient access to data in organizationally distributed environments. In: eScience on Distributed Computing Infrastructure, pp. 178–194. Springer (2014)Google Scholar
  8. 8.
    Foster, I.: Globus online: accelerating and democratizing science through cloud-based services. IEEE Internet Comput. 15(3), 70–73 (2011)CrossRefGoogle Scholar
  9. 9.
    Hartung, C., Lerer, A., Anokwa, Y., Tseng, C., Brunette, W., Borriello, G.: Open data kit: tools to build information services for developing regions. In: Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development, p. 18. ACM (2010)Google Scholar
  10. 10.
    Herring, C.: An Architecture of Cyberspace: Spatialization of the Internet. US Army Construction Engineering Research Laboratory, Champaign (1994)Google Scholar
  11. 11.
    Hildmann, T., Kao, O.: Deploying and extending on-premise cloud storage based on owncloud. In: 2014 IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 76–81. IEEE (2014)Google Scholar
  12. 12.
    Josep, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)CrossRefGoogle Scholar
  13. 13.
    Kranzlmüller, D., de Lucas, J.M., Öster, P.: The European grid initiative (EGI). In: Remote Instrumentation and Virtual Laboratories, pp. 61–66. Springer (2010)Google Scholar
  14. 14.
    Kuchinke, W., Ohmann, C., Yang, Q., Salas, N., Lauritsen, J., Gueyffier, F., Leizorovicz, A., Schade-Brittinger, C., Wittenberg, M., Voko, Z., et al.: Heterogeneity prevails: the state of clinical trial data management in europe-results of a survey of ecrin centres. Trials 11(1), 79 (2010)CrossRefGoogle Scholar
  15. 15.
    Kurze, T., Klems, M., Bermbach, D., Lenk, A., Tai, S., Kunze, M.: Cloud federation. Cloud Comput. 2011, 32–38 (2011)Google Scholar
  16. 16.
    Lecarpentier, D., Wittenburg, P., Elbers, W., Michelini, A., Kanso, R., Coveney, P., Baxter, R.: Eudat: a new cross-disciplinary data infrastructure for science. Int. J. Digit. Curation 8(1), 279–287 (2013)CrossRefGoogle Scholar
  17. 17.
    Liu, S.B., Palen, L.: The new cartographers: crisis map mashups and the emergence of neogeographic practice. Cartogr. Geogr. Inf. Sci. 37(1), 69–90 (2010)CrossRefGoogle Scholar
  18. 18.
    Mora, F.: Innovating in the midst of crisis: a case study of Ushahidi. Submitted for Publication to SAGE Convergence Journal (2011)Google Scholar
  19. 19.
    Mościcki, J.T., Lamanna, M.: Prototyping a file sharing and synchronization service with owncloud. In: Journal of Physics: Conference Series, vol. 513, p. 042034. IOP Publishing (2014)Google Scholar
  20. 20.
    Okolloh, O.: Ushahidi, or ‘testimony’: web 2.0 tools for crowdsourcing crisis information. Participatory Learn. Action 59(1), 65–70 (2009)Google Scholar
  21. 21.
    Rajasekar, A., Wan, M., Moore, R., Schroeder, W.: A prototype rule-based distributed data management system. In: HPDC Workshop on Next Generation Distributed Data Management, vol. 102. Citeseer (2006)Google Scholar
  22. 22.
    Rimal, B.P., Choi, E., Lumb, I.: A taxonomy and survey of cloud computing systems. In: 2009 Fifth International Joint Conference on INC, IMS and IDC, pp. 44–51. IEEE (2009)Google Scholar
  23. 23.
    Roche, S., Propeck-Zimmermann, E., Mericskay, B.: GeoWeb and crisis management: issues and perspectives of volunteered geographic information. GeoJournal 78(1), 21–40 (2013)CrossRefGoogle Scholar
  24. 24.
    Testi, D., Quadrani, P., Viceconti, M.: Physiomespace: digital library service for biomedical data. Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci. 368(1921), 2853–2861 (2010)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Martin Bobák
    • 1
    Email author
  • Ondrej Habala
    • 1
  • Ladislav Hluchý
    • 1
  1. 1.Institute of InformaticsSlovak Academy of SciencesBratislavaSlovakia

Personalised recommendations