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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Implementation of DiploCloud Architecture to improve efficiency of managing RDF Data in Cloud
Authors Name: Manjula M , Nagasindhu D S
Unique Id: IJSDR1708004
Published In: Volume 2 Issue 8, August-2017
Abstract: The primary motivation behind the Project is to learn by encountering a pragmatic workplace and apply the information obtained amid scholastics in a certifiable situation. Managing RDF (Resource Description Framework) data is still challenging issue in cloud. RDF enciphers hard graphs combining data of ‘instance’ and ‘schema’. ‘Sharding such data’ uses built in methods or graph partitioning handled by traditional min-cut algorithms, drags highly extravagant operations and huge quantity of joins. DiploCloud Architecture is depicted as a proficient and versatile conveyed RDF data management system. In opposition to earlier methodologies, DiploCloud runs ‘physiological’ examination of data before slicing it. Here, the architecture of DiploCloud is explained along with its fundamental data structures which will increase the performance twice the normal loads.
Keywords: DiploCloud, RDF, Sharding, min-cut algorithms, graph partitioning
Cite Article: "Implementation of DiploCloud Architecture to improve efficiency of managing RDF Data in Cloud", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 8, page no.16 - 21, August-2017, Available :http://www.ijsdr.org/papers/IJSDR1708004.pdf
Downloads: 000223214
Publication Details: Published Paper ID: IJSDR1708004
Registration ID:170693
Published In: Volume 2 Issue 8, August-2017
DOI (Digital Object Identifier):
Page No: 16 - 21
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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