Peer-to-Peer MapReduce Platform

Darhan Ahmed-Zaki, Grzegorz Dobrowolski, Bolatzhan Kumalakov

2013

Abstract

Publicly available Peer-to-PeerMapReduce (P2P-MapReduce) frameworks suffer lack of practical implementation, which significantly reduces their role in system engineering. Presented research supplies valuable data on working implementation of P2P-MapReduce platform. Resulting novelties include advanced workload distribution function, which integrates mobile devices as execution nodes; novel computing node and multi-agent system architectures.

Paper Citation

in Harvard Style

Ahmed-Zaki D., Dobrowolski G. and Kumalakov B. (2013). Peer-to-Peer MapReduce Platform . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 565-570. DOI: 10.5220/0004330405650570

in Bibtex Style

@conference{icaart13,
author={Darhan Ahmed-Zaki and Grzegorz Dobrowolski and Bolatzhan Kumalakov},
title={Peer-to-Peer MapReduce Platform},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={565-570},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004330405650570},
isbn={978-989-8565-39-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Peer-to-Peer MapReduce Platform
SN - 978-989-8565-39-6
AU - Ahmed-Zaki D.
AU - Dobrowolski G.
AU - Kumalakov B.
PY - 2013
SP - 565
EP - 570
DO - 10.5220/0004330405650570