Applying volunteer mapreduce platform to assist search and rescue operations

Bolatzhan Kumalakov, Darkhan Akhmed-Zaki, Grzegorz Dobrowolski

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)1579-1588
Number of pages10
JournalContemporary Engineering Sciences
Volume7
Issue number25-28
DOIs
Publication statusPublished - 2014
Externally publishedYes

Fingerprint

Mobile devices
Volunteers
infrastructure
Equipment and Supplies
Sensors
Forests

Keywords

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

ASJC Scopus subject areas

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

Cite this

Applying volunteer mapreduce platform to assist search and rescue operations. / Kumalakov, Bolatzhan; Akhmed-Zaki, Darkhan; Dobrowolski, Grzegorz.

In: Contemporary Engineering Sciences, Vol. 7, No. 25-28, 2014, p. 1579-1588.

Research output: Contribution to journalArticle

Kumalakov, Bolatzhan ; Akhmed-Zaki, Darkhan ; Dobrowolski, Grzegorz. / Applying volunteer mapreduce platform to assist search and rescue operations. In: Contemporary Engineering Sciences. 2014 ; Vol. 7, No. 25-28. pp. 1579-1588.
@article{c2dd0e99490a40a6b4b3ffa723840f73,
title = "Applying volunteer mapreduce platform to assist search and rescue operations",
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.",
keywords = "Clustering, Multi-agent systems, Search and rescue operations",
author = "Bolatzhan Kumalakov and Darkhan Akhmed-Zaki and Grzegorz Dobrowolski",
year = "2014",
doi = "10.12988/ces.2014.411214",
language = "English",
volume = "7",
pages = "1579--1588",
journal = "Contemporary Engineering Sciences",
issn = "1313-6569",
publisher = "Hikari Ltd.",
number = "25-28",

}

TY - JOUR

T1 - Applying volunteer mapreduce platform to assist search and rescue operations

AU - Kumalakov, Bolatzhan

AU - Akhmed-Zaki, Darkhan

AU - Dobrowolski, Grzegorz

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Clustering

KW - Multi-agent systems

KW - Search and rescue operations

UR - http://www.scopus.com/inward/record.url?scp=84923126089&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84923126089&partnerID=8YFLogxK

U2 - 10.12988/ces.2014.411214

DO - 10.12988/ces.2014.411214

M3 - Article

VL - 7

SP - 1579

EP - 1588

JO - Contemporary Engineering Sciences

JF - Contemporary Engineering Sciences

SN - 1313-6569

IS - 25-28

ER -