INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A General Framework for Big Image Data using Hierarchical Distribution
Authors Name:
Rajani T.S
Unique Id:
IJSDR1805019
Published In:
Volume 3 Issue 5, May-2018
Abstract:
This introduce the ICP framework it provide the general framework for image processing field to achieve efficient result, time efficiency and high quality result and also increase the image scale these all are implemented in parallel. Here we have two mechanisms Static image cloud processing (SICP) and Dynamic image cloud processing(DICP). SICP is used processing the large scale image data pre stored in distributed system; DICP is used for dynamic input. SICP has two types of image data P-image and Big-image are designed using MapReduce to achieve optimized configuration and higher efficiency. DICP implemented using the parallel processing procedure with old-style processing mechanism of the distributed system.
Keywords:
- MapReduce, distributed system, cloud processing, big image data, image processing, and parallel processing.
Cite Article:
"A General Framework for Big Image Data using Hierarchical Distribution", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 5, page no.112 - 117, May-2018, Available :http://www.ijsdr.org/papers/IJSDR1805019.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1805019
Registration ID:180071
Published In: Volume 3 Issue 5, May-2018
DOI (Digital Object Identifier):
Page No: 112 - 117
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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