Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A study on method of calculating cloud computing server capacity for SaaS

Full metadata record
DC Field Value Language
dc.contributor.authorChoi, K.-H.-
dc.contributor.authorChun, Y.-H.-
dc.contributor.authorPark, S.-J.-
dc.contributor.authorShin, Y.-
dc.contributor.authorKim, J.-B.-
dc.date.available2018-05-09T08:30:03Z-
dc.date.created2018-04-17-
dc.date.issued2015-
dc.identifier.issn0973-4562-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/9653-
dc.description.abstractFor cloud computing services, which require huge server resources, it is of key importance to calculate the HW capacity of service systems more systematically and accurately. Many IT service enterprises have provided SaaS by signing MOUs with enterprises equipped with a cloud infrastructure. Thus, the research on the hardware capacity calculation method for SaaS, the base of cloud services, is the foundational research that is needed to expand cloud computing into various businesses within the cloud in the future. As such, in this research, a method and criteria are proposed for calculating the capacity of hardware, out of the computing infrastructures involved in SaaS. The results of this research may be utilized as a guideline for HW capacity calculation during the establishment of a cloud computing environment. © 2015 Kook-Hyun Choi, Yang-Ha Chun, Se-Jeong Park, Yongtae Shin and Jong-Bae Kim.-
dc.publisherResearch India Publications-
dc.relation.isPartOfInternational Journal of Applied Engineering Research-
dc.titleA study on method of calculating cloud computing server capacity for SaaS-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.bibliographicCitationInternational Journal of Applied Engineering Research, v.10, no.18, pp.39302 - 39306-
dc.description.journalClass1-
dc.identifier.scopusid2-s2.0-84944560546-
dc.citation.endPage39306-
dc.citation.number18-
dc.citation.startPage39302-
dc.citation.titleInternational Journal of Applied Engineering Research-
dc.citation.volume10-
dc.contributor.affiliatedAuthorShin, Y.-
dc.contributor.affiliatedAuthorKim, J.-B.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorCalculation-
dc.subject.keywordAuthorCapacity-
dc.subject.keywordAuthorCloud computing-
dc.subject.keywordAuthorCriteria-
dc.subject.keywordAuthorSaaS-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School of Software > Major in Software > 1. Journal Articles
College of Information Technology > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Shin, Yong tae photo

Shin, Yong tae
College of Information Technology (School of Computer Science and Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE