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Exploiting Content-Based Pub/Sub Systems for Event Detection in Emergency Management

  • Yuwei Yang
  • Beihong Jin
  • Fusang Zhang
  • Sen Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7901)

Abstract

Emergency management needs to detect diverse events, covering non-spontaneous events and spatio-temporal events, and notify the related personnelas soon as possible so that they can make further decisions. This paper introduces how to carry out event detection and notification by exploiting content-based Pub/Sub systems, and it also summarizes our work progress in this field. Through describing our event detection language and its application examples, the paper demonstrates the event detection capability of our Pub/Sub systems. Furthermore, this paper explains subscription/event routing strategies employed in our Pub/Sub systems constructed in different network environments (including cloud and VANETs), and these strategies serve for dynamic load balance and efficient event notification, respectively.

Keywords

Event Detection Road Segment Event Space Cloud Infrastructure Exceptional Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Jin, B., Zhuo, W., Hu, J., Chen, H., Yang, Y.: Specifying and Detecting Spatio-Temporal Events in the Internet of Things. Decision Support Systems (2013), http://dx.doi.org/10.1016/j.dss.2013.01.027
  2. 2.
    Fang, W., Jin, B., Zhang, B., Yang, Y., Qin, Z.: Design and Evaluation of a Pub/Sub Service in the Cloud. In: 2011 International Conference on Cloud and Service Computing (2011)Google Scholar
  3. 3.
    Zhang, F., Jin, B., Zhuo, W., Wang, Z., Zhang, L.: A Content-Based Publish/Subscribe System for Efficient Event Notification over Vehicular Ad hoc Networks. In: The 9th IEEE International Conference on Ubiquitous Intelligence and Computing (2012)Google Scholar
  4. 4.
    Li, G., Jacobsen, H.-A.: Composite Subscriptions in Content-Based Publish/Subscribe Systems. In: Alonso, G. (ed.) Middleware 2005. LNCS, vol. 3790, pp. 249–269. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Jin, B., Zhao, X., Long, Z., Qi, F., Yu, S.: Effective and Efficient Event Dissemination for RFID Applications. The Computer Journal 52(8) (2009)Google Scholar
  6. 6.
    Chen, X., Chen, Y., Rao, F.: An Efficient Spatial Publish/Subscribe System for Intelligent Location-Based Services. In: ACM DEBS (2003)Google Scholar
  7. 7.
    Bamba, B., Liu, L., Yu, P.S., Zhang, G., Doo, M.: Scalable Processing of Spatial Alarms. In: Sadayappan, P., Parashar, M., Badrinath, R., Prasanna, V.K. (eds.) HiPC 2008. LNCS, vol. 5374, pp. 232–244. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  8. 8.
    Bamba, B., Liu, L., Iyengar, A., Yu, P.S.: Distributed Processing of Spatial Alarms: A Safe Region-based Approach. In: International Conference on Distributed Computing Systems (2009)Google Scholar
  9. 9.
    Zhang, B., Jin, B., Chen, H., Qin, Z.: Empirical Evaluation of Content-based Pub/Sub Systems over Cloud Infrastructure. In: The 8th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (2010)Google Scholar
  10. 10.
  11. 11.
    Cooper, B.F., Ramakrishnan, R., Srivastava, U., Silberstein, A., Bohannon, P., Jacobsen, H., Puz, N., Weaver, D., Yerneni, R.: PNUTS: Yahoo!’s Hosted Data Serving Platform. Proceedings of the VLDB Endowment, 1(2) (2008)Google Scholar
  12. 12.
    Leontiadis, I., Costa, P., Mascoloc, C.: A Hybrid Approach for Content-Based Publish/Subscribe in Vehicular Networks. Pervasive and Mobile Computing 5(6) (2009)Google Scholar
  13. 13.
    Wu, L., Liu, M., Wang, X., Chen, G., Gong, H.: Mobile Distribution-Aware Data Dissemination for Vehicular Ad Hoc Networks. Journal of Software 22(7) (2011)Google Scholar
  14. 14.
    Wang, H., Fan, W., Yu, P.S., Han, J.: Mining Concept-Drifting Data Streams Using Ensemble Classifiers. In: ACM SIGKDD 2003 (2003)Google Scholar
  15. 15.
    Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26(11), 832–843 (1983)zbMATHCrossRefGoogle Scholar
  16. 16.
    Guting, R.H.: An Introduction to Spatial Database Systems. The VLDB Journal 3(4), 357–399 (1994)CrossRefGoogle Scholar
  17. 17.
    Randell, D.A., Cui, Z., Cohn, A.G.: A Spatial Logic based on Regions and Connection. In: The 3rd International Conference on Knowledge Representation and Reasoning, pp. 165–176 (1992)Google Scholar
  18. 18.
    Muller, P.: Topological Spatio–Temporal Reasoning and Representation. Computational Intelligence 18(3), 420–450 (2002)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yuwei Yang
    • 1
    • 2
  • Beihong Jin
    • 1
    • 2
  • Fusang Zhang
    • 1
    • 2
  • Sen Li
    • 1
    • 2
  1. 1.Institute of SoftwareChinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina

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