Implementation of DiploCloud Architecture to improve efficiency of managing RDF Data in Cloud
Manjula M
, Nagasindhu D S
DiploCloud, RDF, Sharding, min-cut algorithms, graph partitioning
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.
"Implementation of DiploCloud Architecture to improve efficiency of managing RDF Data in Cloud", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 8, page no.16 - 21, August-2017, Available :https://ijsdr.org/papers/IJSDR1708004.pdf
Volume 2
Issue 8,
August-2017
Pages : 16 - 21
Paper Reg. ID: IJSDR_170693
Published Paper Id: IJSDR1708004
Downloads: 000347037
Research Area: Engineering
Country: Bengaluru, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
