A Framework for Data Processing at the Edges of Networks

  • Ichiro Satoh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8056)


This paper proposes a distributed processing framework inspired by MapReduce processing. It is unique to other distributed processing approaches to large-scale data, i.e., so-called big data, because it can locally process data maintained in distributed nodes, including sensor or database nodes with non-powerful computing capabilities connected through low-bandwidth networks. It introduces mobile agent technology so that it distributes data processing tasks to distributed nodes as a map step and aggregates their results by returning them to specified servers as a reduce step. The paper describes the architecture of the framework, its basic performance, and its applications.


Sensor Node Cloud Computing Mobile Agent Reducer Agent Worker Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ichiro Satoh
    • 1
  1. 1.National Institute of InformaticsChiyoda-kuJapan

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