Title: A MapReduce-Based Framework for Analyzing Web Logs in Offline Streams
Abstract: New technologies and applications in the Information Science are generating more data than ever before. Hence, streaming data processing has become a hot topic in academic research and industrial applications. The problem of offline stream processing is a variant of stream data processing in data warehousing environment. Efficient and scalable methods are needed for solving offline stream processing problems. This paper proposes a MapReduce based framework named MaRAOS (MapReduce for Analyzing of Offline Streams) for analyzing offline streams. Two modules in this framework: Synopses Generation and Query Analyzation are introduced. A web-log dataset is used to illustrate this framework.
Publication Year: 2016
Publication Date: 2016-08-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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