ANCS: Achieving QoS through Dynamic Allocation of Network Resources in Virtualized Clouds
DC Field | Value | Language |
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dc.contributor.author | Hong, Cheol-Ho | - |
dc.contributor.author | Lee, Kyungwoon | - |
dc.contributor.author | Park, Hyunchan | - |
dc.contributor.author | Yoo, Chuck | - |
dc.date.accessioned | 2021-09-04T05:22:51Z | - |
dc.date.available | 2021-09-04T05:22:51Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1058-9244 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/90319 | - |
dc.description.abstract | To meet the various requirements of cloud computing users, research on guaranteeing Quality of Service (QoS) is gaining widespread attention in the field of cloud computing. However, as cloud computing platforms adopt virtualization as an enabling technology, it becomes challenging to distribute system resources to each user according to the diverse requirements. Although ample research has been conducted in order to meet QoS requirements, the proposed solutions lack simultaneous support for multiple policies, degrade the aggregated throughput of network resources, and incur CPU overhead. In this paper, we propose a new mechanism, called ANCS (Advanced Network Credit Scheduler), to guarantee QoS through dynamic allocation of network resources in virtualization. To meet the various network demands of cloud users, ANCS aims to concurrently provide multiple performance policies; these include weight-based proportional sharing, minimum bandwidth reservation, and maximum bandwidth limitation. In addition, ANCS develops an efficient work-conserving scheduling method for maximizing network resource utilization. Finally, ANCS can achieve low CPU overhead via its lightweight design, which is important for practical deployment. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | HINDAWI LTD | - |
dc.title | ANCS: Achieving QoS through Dynamic Allocation of Network Resources in Virtualized Clouds | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yoo, Chuck | - |
dc.identifier.doi | 10.1155/2016/4708195 | - |
dc.identifier.scopusid | 2-s2.0-84976594784 | - |
dc.identifier.wosid | 000378707500001 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC PROGRAMMING, v.2016 | - |
dc.relation.isPartOf | SCIENTIFIC PROGRAMMING | - |
dc.citation.title | SCIENTIFIC PROGRAMMING | - |
dc.citation.volume | 2016 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
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