International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 169 - Issue 8 |
Published: Jul 2017 |
Authors: Dhanamma Jagli, Seema Purohit, N. Subhash Chandra |
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Dhanamma Jagli, Seema Purohit, N. Subhash Chandra . Comparative Clustering Approach Intended for Evaluating SaaS. International Journal of Computer Applications. 169, 8 (Jul 2017), 13-16. DOI=10.5120/ijca2017914679
@article{ 10.5120/ijca2017914679, author = { Dhanamma Jagli,Seema Purohit,N. Subhash Chandra }, title = { Comparative Clustering Approach Intended for Evaluating SaaS }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 169 }, number = { 8 }, pages = { 13-16 }, doi = { 10.5120/ijca2017914679 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Dhanamma Jagli %A Seema Purohit %A N. Subhash Chandra %T Comparative Clustering Approach Intended for Evaluating SaaS%T %J International Journal of Computer Applications %V 169 %N 8 %P 13-16 %R 10.5120/ijca2017914679 %I Foundation of Computer Science (FCS), NY, USA
The Cloud computing is key computing and playing an important role to share many resources. The Software as a service (SaaS) service model is giving more benefits to the end user. Any user wants to use the software as a service, will not install any software locally rather they can access any application/software as assertive via the internet just by login to the system. For every service user, selecting the suitable one became a difficult task. Hence in this paper providing various data mining clustering algorithms and their comparison based AWS data sets collected. The goal of this research is to provide a decision-making system with optimal solutions to cloud service users and providers to select/provide potential software services and afford according to specified requirements quickly and easily.