International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Implementation of Framework for Efficient and Scalable Disaster Response Services

  • Seokjin Im (Dept. of Computer Engineering, Sungkyul Univ.)
  • Received : 2023.01.31
  • Accepted : 2023.03.13
  • Published : 2023.03.31
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Abstract

The global warming by greenhouse gases causes climate change and disasters such as earthquakes and tsunamis frequently, leading to great damage. It is important to build efficient and scalable disaster response services to minimize the damage. Existing disaster warning service by the mobile text is limited by the scalability and the data size to be delivered. In this paper, we propose a framework for disaster response services that is efficient and flexible by allowing to adopt various indexing schemes and scalable by supporting any number of clients in disaster situations anytime and anywhere. Also, the framework by wireless data broadcast can be free from the limitation of the size of data to be delivered. We design and implement the proposed framework and evaluate the framework. For the evaluation, we simulate the implemented framework by adopting various indexing schemes like HCI, DSI and TTSI, and by comparing the access times of the clients. Through the evaluation, we show that the proposed framework can provide efficient and scalable and flexible disaster response services.

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References

  1. J. Lee, C. J. Choi, J. Lim, and J. Park, "The relation between occupational accidents and economic growth: Evidence from Korea," International Journal of Advanced Culture Technology(IJACT), Vol. 10, No. 3, pp 25-32, September 2022.
  2. J. Kim, "A Method for Effective Mobile Electronic Notification Service of Private Institutions," International Journal of Advanced Culture Technology(IJACT), Vol. 10, No. 2, pp 194-200, June 2022.
  3. H. Park, Y. Lim, H. Park, J. Hwang, S. Lee E. Cho, and B. Lin "Image-Based Skin Diagnosis Using AI Technology Combine With Survey System for Review of Integrated Skin Diagnosis Function," The Journal of the Convergence on Culture Technology(JCCT), Vol. 8, No. 3, pp 463-468, June 2022.
  4. I. Imielinski, S. Viswanathan, and B.R. Bardrinath, "Data on Air: Organization and access,", IEEE Trans. TKDE, Vol. 9, No. 3, pp. 353-372, 1997. https://doi.org/10.1109/69.599926
  5. S. Im, M. Song, S. Kang, J. Kim, C. Hwang, and S. Lee, "Energy Conserving Multiple Data Access in Wireless Data Broadcast Environments," IEICE Trans. Communication, Vol. E90-B, No. 9, pp 2629-2633, September 2004. https://doi.org/10.1093/ietcom/e90-b.9.2629
  6. J. Xu, X. Tang, and W. Lee, "Time-Critical On-Demand Data Broadcast: Algorithm, Analysis and Performance Evaluation," IEEE Trans. Parallel Distrib. System, Vol. E17, No. 1, pp 3-14, January 2006. https://doi.org/10.1109/TPDS.2006.14
  7. B.Zheng, W.C. Lee, and D.L. Lee, "Spatial Queries in Wireless Broadcast Systems", Wireless Network, Vol. 10, No. 6, pp. 723-736, December 2004. https://doi.org/10.1023/B:WINE.0000044031.03597.97
  8. W.C. Lee, and B. Zheng, "DSI: A Fully Distributed Spatial Index for Location-based Wireless Broadcast Services", Proc. of IEEE ICDCS, 2005.
  9. S. Im and H. Hwang, "A Two-Tier Spatial Index for Non-flat Spatial Data Broadcasting on Air," IEICE Trans. Communication, Vol. E97-B, No. 12, pp 2809-2818, December 2014. https://doi.org/10.1587/transcom.E97.B.2809
  10. SimJava, available at https://www.icsa.inf.ed.ac.uk/research/groups/hase/simjava/
  11. Real Dataset, available at https://www.usgs.gov/products/data