文章基本信息

标题：A Framework for Hierarchical Big Image Data
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作者：Pavan Kumar E ; Chetana Prakash
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：8
页码：16707
DOI：10.15680/IJIRSET.2017.0608133
出版社：S&S Publications
摘要：This system presents a compelling preparing system designated ICP (Image Cloud Processing) toeffectively adapt to the information blast in image processing field. While most past experts concentrate on advancingthe image processing algorithms to increase greater proficiency, this work focuses on giving a general structure to thosealgorithms that can be executed in parallel in order to achieve the goal. The ICP system comprises of two components,i.e. SICP (Static ICP) and DICP (Dynamic ICP). In particular, SICP is gone for handling the enormous pictureinformation pre-put away in the dispersed framework and DICP is proposed for dynamic information. To finish SICP,two information portrayals such as P-Image and Big-Image are intended to coordinate with MapReduce to accomplishmore advanced setup and greater profitability. DICP is executed via a parallel processing strategy working with theconventional handling technique of the appropriated framework.
关键词：Big data; Image processing; MapReduce; Distributed system; Cloud computing.