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Localized Mobile Agent Framework for data processing on Internet of Things
arXiv - CS - Social and Information Networks Pub Date : 2020-04-03 , DOI: arxiv-2004.01477
J. Mahalakshmi and P. Venkata Krishna

Internet of Things (IoT) is the major research filed in the recent trends. IoT has the ability to create communication with any object. IoT produces big amount of raw data at the time of data gathering. Therefore, there is a need of efficient mechanism to address the issue of IoT. This paper presents the localized MapReduce Framework for IoT. This frame work processes the data at the local nodes without transferring the data to the cloud or high end servers. The mobile agents have the ability to migrate from one node to another node for data processing, Mapper and Reducer are used for agent duplication and result aggregation. The performance of the proposed framework is evaluated using the cost function and the results proved the efficiency the proposed framework.

中文翻译:

用于物联网数据处理的本地化移动代理框架

物联网 (IoT) 是近期趋势中的主要研究领域。物联网能够与任何对象建立通信。物联网在数据收集时会产生大量原始数据。因此,需要一种有效的机制来解决物联网的问题。本文介绍了本地化的物联网 MapReduce 框架。该框架在本地节点处理数据,而无需将数据传输到云或高端服务器。移动代理具有从一个节点迁移到另一个节点进行数据处理的能力,Mapper 和Reducer 用于代理复制和结果聚合。使用成本函数评估所提出框架的性能,结果证明了所提出框架的效率。
更新日期:2020-04-06
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