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 | |
| Publication status | Published - 2014 |
| Externally published | Yes |
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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 journal › Article
}
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
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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 -