Applying volunteer mapreduce platform to assist search and rescue operations

Bolatzhan Kumalakov; Darkhan Akhmed-Zaki; Grzegorz Dobrowolski

doi:10.12988/ces.2014.411214

Applying volunteer mapreduce platform to assist search and rescue operations

Bolatzhan Kumalakov, Darkhan Akhmed-Zaki, Grzegorz Dobrowolski

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	1579-1588
Number of pages	10
Journal	Contemporary Engineering Sciences
Volume	7
Issue number	25-28
DOIs	https://doi.org/10.12988/ces.2014.411214
Publication status	Published - 2014

Keywords

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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Applying volunteer mapreduce platform to assist search and rescue operations

Abstract

Keywords

ASJC Scopus subject areas

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