I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Machine Learning-based Optimal VNF Deployment:
, In:
2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)
,
Park, Suhyun
;
Kim, Hee-Gon
;
Hong, Jibum
... - p. 67-72 , 2020
Link:
https://doi.org/10.23919/APNOMS50412.2020.9236970
RT T1 <cTitle>2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)</cTitle>: T1 <Title>Machine Learning-based Optimal VNF Deployment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9236970&Exemplar=1&LAN=DE A1 Park, Suhyun A1 Kim, Hee-Gon A1 Hong, Jibum A1 Lange, Stanislav A1 Yoo, Jae-Hyoung A1 Hong, James Won-Ki YR 2020 K1 Network Function Virtualization K1 Virtualized Network Function K1 VNF Deployment K1 Machine Learning SP 67 OP 72 LK http://dx.doi.org/https://doi.org/10.23919/APNOMS50412.2020.9236970 DO https://doi.org/10.23919/APNOMS50412.2020.9236970 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
