Article (Scientific journals)
Targeting a light-weight and multi-channel approach for distributed stream processing
Venugopal, Vinu Ellampallil; Theobald, Martin; Tassetti, Damien et al.
2022In Journal of Parallel and Distributed Computing, 167, p. 77-96
Peer reviewed
 

Files


Full Text
1-s2.0-S0743731522000909-main.pdf
Publisher postprint (1.27 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
Venugopal, Vinu Ellampallil;  University of Luxembourg > Department of Computer Science
Theobald, Martin ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Tassetti, Damien;  University of Nantes > Department of Computer Science
Chaychi, Samira;  University of Luxembourg > Department of Computer Science
Tawakuli, Amal;  University of Luxembourg > Department of Computer Science
External co-authors :
yes
Language :
English
Title :
Targeting a light-weight and multi-channel approach for distributed stream processing
Publication date :
25 July 2022
Journal title :
Journal of Parallel and Distributed Computing
Publisher :
Elsevier
Volume :
167
Pages :
77-96
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 17 February 2023

Statistics


Number of views
158 (6 by Unilu)
Number of downloads
67 (4 by Unilu)

Scopus citations®
 
2
Scopus citations®
without self-citations
0
OpenCitations
 
0
WoS citations
 
3

Bibliography


Similar publications



Contact ORBilu