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
ReLoca: Optimize Resource Allocation for Data-parallel Jobs..:
, In:
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
,
Hu, Zhiyao
;
Li, Dongsheng
;
Zhang, Dongxiang
. - p. 1163-1171 , 2020
Link:
https://doi.org/10.1109/INFOCOM41043.2020.9155521
RT T1 <cTitle>IEEE INFOCOM 2020 - IEEE Conference on Computer Communications</cTitle>: T1 <Title>ReLoca: Optimize Resource Allocation for Data-parallel Jobs using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9155521&Exemplar=1&LAN=DE A1 Hu, Zhiyao A1 Li, Dongsheng A1 Zhang, Dongxiang A1 Chen, Yixin YR 2020 SN 2641-9874 K1 Resource management K1 Computational modeling K1 Predictive models K1 Task analysis K1 Sparks K1 Adaptation models K1 Machine learning K1 data-parallel job K1 resource allocation K1 performance prediction K1 sampling overhead SP 1163 OP 1171 LK http://dx.doi.org/https://doi.org/10.1109/INFOCOM41043.2020.9155521 DO https://doi.org/10.1109/INFOCOM41043.2020.9155521 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
