A Framework for Hierarchical Big Image Data

被引:0
作者
Mylavarapu, Bharadwaja Krishnadev [1 ]
Mylavarapu, Raghu T. [2 ]
机构
[1] John Deere Co, Moline, IL 61265 USA
[2] KPMG LLP, Reg Dev Ctr, Montvale, NJ USA
来源
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT) | 2018年
关键词
Big data; Image processing; MapReduce; Distributed system; Cloud computing; CLASSIFICATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This framework displays a convincing getting ready framework assigned ICP (Image Cloud Processing) to effectively adjusting to the data impact in picture preparing field. While most past specialists focus on propelling the picture handling calculations to increment more prominent capability, this work centres around giving a general structure to those calculations that can be executed in parallel keeping in mind the end goal to accomplish the objective. The ICP framework contains two components, i.e. SICP (Static ICP) and DICP (Dynamic ICP). Specifically, SICP is away to handle the huge picture data pre secured from the scattered system and DICP is proposed for dynamic data. To complete SICP, two data depictions, for example, P-Image and Big-Image are planned to organize with Map Reduce to achieve further developed setup and more noteworthy benefit. DICP is executed by means of a parallel preparing procedure working with the ordinary taking care of strategy of the appropriated structure.
引用
收藏
页码:169 / 173
页数:5
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