Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

Usage Aware VNF Placement for Improved QoS in Edge Computing

Full metadata record
DC Field Value Language
dc.contributor.authorMutichiro B.-
dc.contributor.authorYang H.-
dc.contributor.authorKim Y.-
dc.date.available2020-03-18T03:20:10Z-
dc.date.created2020-03-18-
dc.date.issued2019-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/35580-
dc.description.abstractThe advent of edge computing has given rise to new opportunities and challenges in the domain of cloud computing. While the key deliverable is to ensure reliable service provision to users, the characteristics of the edge cloud including high latency, unreliable bandwidth, real-time response, distance from the edge cloud among others, make it challenging to meet set targets. A major challenge operators face is the optimal placement of virtual network functions (VNFs). This problem has been widely researched in the literature of data centers from an operator's perspective little attention given to the user. We formulate the usage-aware placement problem for enhanced user quality of service (QoS) in edge environment. We aim to minimize the user response time through efficient placement and model the user requests in terms of user preference and service selection probability in influencing placement of VNFs in edge-cloud environments. Further we formulate a heuristic usage-aware placement algorithm solution for placement of these service requests. Our results show that our approach achieves considerable reduction in user time response and minimizes resource costs. It meets the QoS requirement for latency sensitive services. © 2019 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOfICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future-
dc.titleUsage Aware VNF Placement for Improved QoS in Edge Computing-
dc.typeArticle-
dc.identifier.doi10.1109/ICTC46691.2019.8940000-
dc.type.rimsART-
dc.identifier.bibliographicCitationICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp.808 - 812-
dc.description.journalClass1-
dc.identifier.scopusid2-s2.0-85078236128-
dc.citation.endPage812-
dc.citation.startPage808-
dc.citation.titleICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future-
dc.contributor.affiliatedAuthorKim Y.-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorEdge cloud-
dc.subject.keywordAuthorlatency-
dc.subject.keywordAuthorresource cost minimization-
dc.subject.keywordAuthoruser preference-
dc.subject.keywordAuthoruser response time minimization-
dc.subject.keywordAuthorVNF placement-
dc.subject.keywordPlusEdge computing-
dc.subject.keywordPlusEdge clouds-
dc.subject.keywordPluslatency-
dc.subject.keywordPlusResource costs-
dc.subject.keywordPlususer preference-
dc.subject.keywordPlusUser response time-
dc.subject.keywordPlusVNF placement-
dc.subject.keywordPlusQuality of service-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > ETC > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Kim, Young Han photo

Kim, Young Han
College of Information Technology (Department of IT Convergence)
Read more

Altmetrics

Total Views & Downloads

BROWSE