Cited 6 time in
DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Hyun-Woo | - |
| dc.contributor.author | Han, Jaekyung | - |
| dc.contributor.author | Park, Jong Hyuk | - |
| dc.contributor.author | Jeong, Young-Sik | - |
| dc.date.accessioned | 2024-08-08T04:31:23Z | - |
| dc.date.available | 2024-08-08T04:31:23Z | - |
| dc.date.issued | 2017-01 | - |
| dc.identifier.issn | 2073-8994 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/17981 | - |
| dc.description.abstract | Infrastructure as a service with desktops (DIaaS) based on the extensible mark-up language (XML) is herein proposed to utilize surplus resources. DIaaS is a traditional surplus-resource integrated management technology. It is designed to provide fast work distribution and computing services based on user service requests as well as storage services through desktop-based distributed computing and storage resource integration. DIaaS includes a nondisruptive resource service and an auto-scalable scheme to enhance the availability and scalability of intra-cloud computing resources. A performance evaluation of the proposed scheme measured the clustering performance time for surplus resource utilization. The results showed improvement in computing and storage services in a connection of at least two computers compared to the traditional method for high-availability measurement of nondisruptive services. Furthermore, an artificial server error environment was used to create a clustering delay for computing and storage services and for nondisruptive services. It was compared to the Hadoop distributed file system (HDFS). | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/sym9010008 | - |
| dc.identifier.scopusid | 2-s2.0-85011656489 | - |
| dc.identifier.wosid | 000395443500008 | - |
| dc.identifier.bibliographicCitation | SYMMETRY-BASEL, v.9, no.1 | - |
| dc.citation.title | SYMMETRY-BASEL | - |
| dc.citation.volume | 9 | - |
| dc.citation.number | 1 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
| dc.subject.keywordAuthor | resource management | - |
| dc.subject.keywordAuthor | dynamic scheduling | - |
| dc.subject.keywordAuthor | scalability | - |
| dc.subject.keywordAuthor | availability | - |
| dc.subject.keywordAuthor | intra-cloud | - |
| dc.subject.keywordAuthor | infrastructure as a service | - |
| dc.subject.keywordAuthor | cloud computing | - |
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