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

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 - Jan 1 2014

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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

Cite this

Kumalakov, B., Akhmed-Zaki, D., & Dobrowolski, G. (2014). Applying volunteer mapreduce platform to assist search and rescue operations. Contemporary Engineering Sciences, 7(25-28), 1579-1588. https://doi.org/10.12988/ces.2014.411214

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Access to Document

10.12988/ces.2014.411214