Agent-based MapReduce Processing in IoT

Ichiro Satoh

Abstract

This paper presents an agent-based framework for processing data at nodes on the Internet of Things (IoT). The framework is based on MapReduce processing, where the MapReduce processing and its clones are popular but inherently have been designed for high-performance server clusters. It aims at enabling data to be processed at nodes on IoT. The key idea behind it is to deploy programs for data processing at the nodes that contain the target data as a map step by using the duplication and migration of agents and to execute the programs with the local data. It aggregates the results of the programs to certain nodes as a reduce step. We describe the architecture and implementation of the framework, its basic performance, and its application are also described here.

References

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Paper Citation


in Harvard Style

Satoh I. (2016). Agent-based MapReduce Processing in IoT . In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-172-4, pages 250-257. DOI: 10.5220/0005802102500257


in Bibtex Style

@conference{icaart16,
author={Ichiro Satoh},
title={Agent-based MapReduce Processing in IoT},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2016},
pages={250-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005802102500257},
isbn={978-989-758-172-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Agent-based MapReduce Processing in IoT
SN - 978-989-758-172-4
AU - Satoh I.
PY - 2016
SP - 250
EP - 257
DO - 10.5220/0005802102500257