Session 3 - Emergency data sources

Date: Thursday 19th September

Papers:

• 1) Xuan Song, Haoran Zhang, Rajendra Akerkar, Huawei Huang, Song Guo, Lei Zhong, Yusheng Ji, Andreas L. Opdahl, Hemant Purohit, Andr´e Skupin, Akshay Pottathil, Aron Culotta, Big Data and Emergency Management: Concepts, Methodologies, and Applications,File:P1-3.pdf.
• 2) Junaid Qadir, Anwaar AliEmail author, Raihan ur Rasool, Andrej Zwitter, Arjuna Sathiaseelan and Jon Crowcroft, Crisis analytics: big data-driven crisis response, File:Crisis analytics- big data-driven crisis response.pdf
• 3) Emani, C. K., Cullot, N., & Nicolle, C. (2015). Review of Big Data and Processing Frameworks for Disaster Response Applications. P3-3.pdf
• 4) Adeyinka Akanbi and Muthoni Masinde. A Distributed Stream Processing Middleware Framework for Real-Time Analysis of Heterogeneous Data on Big Data Platform: Case of Environmental Monitoring. File:P4-3.pdf
• 5) Akerkar, Rajendra (2017). Processing Big Data for Emergency Management. Smart Technologies for Emergency Response and Disaster Management, 144-165, IGI global, File:PBDEM.pdf
• 6) Chih-Chiang Wei and Tzu-Hao Chou. Typhoon Quantitative Rainfall Prediction from Big Data Analytics by Using the Apache Hadoop Spark Parallel Computing Framework. File:P5-3.pdf
• 7) Taiwo Kolajo, Olawande Daramola and Ayodele Adebiyi (2019). Big data stream analysis: a systematic literature review. Journal of Big data, pp==1-30, File:Big data stream analysis a systematic literature review.pdf

Topics:

• Follow up:
  • about the themes
  • about the essay topics
  • about the programming project topics

• Presentations by you:
  • Paper 1: Andrey Belinskiy and Arien Shibani
  • Paper 2: Jørgen Nyborg-Christensen and Benjamin Andersen
  • Paper 3: Bjørn Helge Sandblåst and Carl Christophe Louis Søilen-Knutsen
  • Paper 4: Edvard Tobias Austad Lindgren and Håvard Brynjulfsen
  • Paper 5: Jostein Skadberg and Karoline Øijorden
  • Paper 6: Kine Aveline Sommerstad Bergseth and Malin Wist Jakobsen
  • Paper 7: Maria Ovchinnikova and Markus Andre Pedersen

• A good tutorials:
  • Big Data Processing with Apache Spark - InfoQ

• • Apache Spark Examples

• Two seminal technical papers:

• • • M. Zaharia et al. (2010). Spark: Cluster computing with working sets. Conf. HotCloud 10.
    • M. Zaharia et al. (2012). Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. 9th Conf. Usenix.

Slides: Session-3: See canvas

BDEM Workshop Registration

• • • Registration link: [[1]]