Peer-to-Peer MapReduce platform

Darhan Akhmed-Zaki, Grzegorz Dobrowolski, Bolatzhan Kumalakov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Publicly available Peer-to-Peer MapReduce (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.

Original languageEnglish
Title of host publicationICAART 2013 - Proceedings of the 5th International Conference on Agents and Artificial Intelligence
Pages565-570
Number of pages6
Publication statusPublished - May 27 2013
Event5th International Conference on Agents and Artificial Intelligence, ICAART 2013 - Barcelona, Spain
Duration: Feb 15 2013Feb 18 2013

Publication series

NameICAART 2013 - Proceedings of the 5th International Conference on Agents and Artificial Intelligence
Volume2

Other

Other5th International Conference on Agents and Artificial Intelligence, ICAART 2013
CountrySpain
CityBarcelona
Period2/15/132/18/13

Keywords

  • MapReduce framework
  • Multi-agent systems
  • Peer-to-peer computing

ASJC Scopus subject areas

  • Artificial Intelligence

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