Applying volunteer mapreduce platform to assist search and rescue operations

Bolatzhan Kumalakov, Darkhan Akhmed-Zaki, Grzegorz Dobrowolski

Research output: Contribution to journalArticlepeer-review


Presented case study is based on application of the previously de-signed volunteer peer-to-peer MapReduce computing platform to assist evacuation of people who are disoriented in a forest that is affected by wildfire. Problem solution requires extensive use of features which are built into mobile devices in such a way, that computing not only be- come execution device, but also interface and data collector sensors. Nonetheless, despite being advanced to such a level every device in the infrastructure resumes its voluntarily mapper or reducer node features.

Original languageEnglish
Pages (from-to)1579-1588
Number of pages10
JournalContemporary Engineering Sciences
Issue number25-28
Publication statusPublished - 2014


  • Clustering
  • Multi-agent systems
  • Search and rescue operations

ASJC Scopus subject areas

  • Materials Science(all)
  • Social Sciences (miscellaneous)
  • Engineering(all)
  • Fluid Flow and Transfer Processes
  • Computer Networks and Communications
  • Health, Toxicology and Mutagenesis

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