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- W166364041 abstract "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." @default.
- W166364041 created "2016-06-24" @default.
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- W166364041 date "2013-01-01" @default.
- W166364041 modified "2023-09-24" @default.
- W166364041 title "A Framework for Data Processing at the Edges of Networks" @default.
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- W166364041 doi "https://doi.org/10.1007/978-3-642-40173-2_25" @default.
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