Analyzing Massive Machine Data Maintaining in a Cloud Computing

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Provided by: IJCER
Topic: Cloud
Format: PDF
The authors present a novel framework, Cloud View, for storage, processing and analysis of massive machine maintenance data, collected from a large number of sensors embedded in industrial machines, in a cloud computing environment. This paper describes the architecture, design, and implementation of CloudView, and how the proposed framework leverages the parallel computing capability of a computing cloud based on a large-scale distributed batch processing infrastructure that is built of commodity hardware. A Case-Based Reasoning (CBR) approach is adopted for machine fault prediction, where the past cases of failure from a large number of machines are collected in a cloud.
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