Detailed Information

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

An efficient improvement potential-based virtual network function selection scheme for reliability/availability improvement

Full metadata record
DC Field Value Language
dc.contributor.authorDinh, T.-
dc.contributor.authorKim, Y.-
dc.date.available2019-04-10T09:56:54Z-
dc.date.created2018-09-12-
dc.date.issued2018-01-
dc.identifier.isbn9781538622896-
dc.identifier.issn1976-7684-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32447-
dc.description.abstractNetwork function virtualization (NFV) allows for implementing network functions as softwares running on standard servers, called virtual network functions (VNFs). This raises availability/reliability issues such as hard- and soft-ware failures. Thus, merely mapping primary VNFs is not enough to ensure high availability/reliability. As a result, additional protection schemes are required to improve the availability/reliability of services. With a limited resource allocated for each improvement, selecting the most potential VNFs for improving which can help maximize the reliability improvement with an appropriate cost is desirable. This paper proposes a metric to measure the improvement potential per a unit cost for VNFs. An efficient VNF selection scheme is designed based on the metric. Obtained numerical results show that the proposed selection scheme achieves higher cost efficiency and better system reliability within a limited resource. © 2018 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE Computer Society-
dc.relation.isPartOfInternational Conference on Information Networking-
dc.titleAn efficient improvement potential-based virtual network function selection scheme for reliability/availability improvement-
dc.typeConference-
dc.identifier.doi10.1109/ICOIN.2018.8343160-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation32nd International Conference on Information Networking, ICOIN 2018, v.2018-January, pp.461 - 463-
dc.description.journalClass2-
dc.identifier.scopusid2-s2.0-85047009478-
dc.citation.conferenceDate2018-01-10-
dc.citation.conferencePlaceUS-
dc.citation.endPage463-
dc.citation.startPage461-
dc.citation.title32nd International Conference on Information Networking, ICOIN 2018-
dc.citation.volume2018-January-
dc.contributor.affiliatedAuthorKim, Y.-
dc.type.docTypeConference Paper-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > ETC > 2. Conference Papers

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